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Office:
A3053 ( Jon Lilletuns vei 9, Grimstad )
Office hours:
You are welcome to stop by any time my office door is open. Otherwise, please make an appointment.

 

I joined UiA in September 2018. My previous academic appointments were in the US, South Africa, Cyprus and Fiji Islands. I have received my Ph.D. from Rensselaer Polytechnic Institute (USA) and M. Eng. from the Swiss Federal Institute of Zurich in 1995 and 1987, respectively.

 

Research interests

 

My main interest is in the modeling, analysis and prediction / classification of spatiotemporal patterns using machine learning techniques and methods (eg neural networks, hidden Markov models) and their applications (speech, mining, security, finance, non-verbal communication, bioconservation, e-health, astronomy, climate change, ICT for development). 

My early research focused on the theoretical foundations of knowledge representation in recurrent neural networks with extensions to fuzzy domains as well as hybrid methods for learning. Although I still have interests in basic research (eg hybrid training of hidden Markov models and recurrent neural networks, cooperative coevolutionary learning, learning algorithms for novel neural network architectures), my main research tank has shifted to more application-oriented work.

 

 

Work experience

 

Work Experience

2018- Professor, Department of ICT, University of Agder.

2016- Thesis Supervisor, School of Computing, University of South Africa.

2015-2016 Professor, School of Computing, University of South Africa.

2012-2014 Professor, School of Computer Science, University of the Witwatersrand, South Africa.

2007-2012 Professor, Department of Computer Engineering, Middle East Technical University, Cyprus.

2007 Visiting Research Professor, Department of Computer Science, University of the Western Cape, South Africa.

2004-2007 Professor, School of Computing, Information & Mathematical Sciences, University of the South Pacific, Fiji Islands.

2003-2006 Extraordinary Professor, Department of Computer Science, University of the Western Cape, South Africa.

2004 Visiting Professor, Dalle Molle Institute for Artificial Intelligence (IDSI),. Lugano, Switzerland.

2001-2004 Professor, Department of Computer Science, University of the Western Cape, South Africa.

1998-2001 Senior Lecturer, Department of Computer Science, University of Stellenbosch, South Africa.

1996-1998 Owner / Consultant, Adaptive Computing Technologies, Troy, USA.

1991-1996 Visiting Scientist, NEC Research Institute, Princeton,. USA.

1987-1991 Graduate Assistant, Rensselaer Polytechnic Institute, Troy, USA.

1987 Software Engineer, Hasler AG (Ascom), Berne, Switzerland.

 

Leadership Experience

2012-2014 Head of Computer Science, University of the Witwatersrand, South Africa.

2004-2007 Departmental leadership in the design and planning of the new Japan-Pacific ICT Center at the University of the South Pacific. The center became operational in 2012.

2002-2004 Founding Director, Telkom / Cisco Center of Excellence for IP and Internet Computing, University of the Western Cape, South Africa.

2003 Organization of the South African DACST Innovation Fund Consortium "HearSEE: A Platform for Sign Language Interaction" 

2001-2004 Deputy Chairperson, Department of Computer Science, University of the Western Cape, South Africa.

2001-2004 Information and Communication Technologies research thrust leader for the South African National Research Foundation Program for Historically Black Universities at the University of the Western Cape, South Africa.

Projects

 

Machine Learning for Astronomy (2015-)

AI for Bioconservation and Environmental Management (2005-)

AI for Security (2003-2014)

Integration of Verbal and Signed Communication: Real-Time Sign Language Translation (2002-2014)

Intelligent Information and Service Delivery on the WWW (1996-2006)

Knowledge-Based Neurocomputing and Hybrid Systems (1998-2007)

Symbolic Knowledge Representation in Recurrent Neural Networks for Times Series Modeling (1992-1998)

Selected publications

 

Book Chapters

B. Wiese, CW Omlin, "Credit Card Transactions, Fraud Detection and Machine Learning: Modeling Time with LSTM Recurrent Neural Networks", M. Bianchini, L. Jain, M. Maggini, F. Scraselli (Ed.), Innovations in Neural Information Paradigms and Applications, Springer, pp. 231-268, 2009.

P. Frasconi, CL Giles, M. Gori, and CW Omlin, Insertion of Prior Knowledge, in JF Coal and SC Kremer, (Ed.), A Field Guide to Recurrent Neural Networks, IEEE Press, pp. 155-177, 2001 .

CW Omlin, 'Understanding and Explaining DRN Behavior', in JF Kolen and SC Kremer, (Ed.), A Field Guide to Recurrent Neural Networks, IEEE Press, pp. 207-227, 2001.

CL Giles, CW Omlin, Representation of Discrete States, in JF Coal and SC Kremer, (Ed.), A Field Guide to Recurrent Neural Networks, IEEE Press, pp. 83-102, 2001.

C.W. Omlin, C.L. Giles, ``What Can Recurrent Neural Networks Do? Insights from Theoretical Models of Computation'', in I. Cloete & J Zurada (Eds.), Knowledge-Based Neurocomputing, MIT Press, p. 63-105, 2000.

C.W. Omlin, C.L. Giles, and K.K. Thornber, `` Fuzzy Knowledge and Recurrent Neural Networks: A Hybrid Dynamical Systems Perspective'', S. Wermter (Ed.), Hybrid Systems, Springer Verlag, 2000.

C.W. Omlin, C.L. Giles, ``Extraction and Insertion of Symbolic Information in Recurrent Neural Networks'', V. Honavar, L. Uhr (Eds.), Artificial Intelligence and Neural Networks: Steps Toward Principled Integration, p. 271-299, Academic Press, 1994.

 

Publications in Refereed Journals

E. Zimudzi, I. Sanders, N. Rollings, C.W. Omlin, “Segmenting Mangrove Ecosystems Drone Images using SLIC Superpixels”, Geocarta International, Vol. 33, No. 9, 2018.

R.C. Staudemeyer, C.W. Omlin, “Extracting Salient Features for Network Intrusion Detection using Machine Learning Methods,’ South African Computer Journal, Vol. 52, pp. 82-96, 2014.

R. Chandra, M. Frean, M. Zhang and C. W. Omlin, "Encoding Subcomponents in Cooperative Coevolutionary Recurrent Neural Networks", Neurocomputing, Elsevier, Vol. 74, pp. 3223-3234, 2011.

R. Chandra, R. Knight, C.W. Omlin, “Renosterveld Conservation in South Africa: A Case Study for Handling Uncertainty in Knowledge-Based Neural Networks for Environmental Management”, Journal of Environmental Informatics, Vol 13, No. 1, pp. 56-65, 2009.

A. Sharma, C.W. Omlin, “Performance Comparison of Particle Swarm Optimization with Traditional Clustering Algorithms Used in Self-Organizing Maps”, International Journal of Computational Intelligence, Vol. 5, No. 1, 2009.

R. Chandra, C. W. Omlin, “Evolutionary training of Hybrid Systems of Recurrent Neural Networks and Hidden Markov Models”, International Journal of Applied Mathematics and Computer Science, Vol 3, No. 3, pp. 127-133, 2007.

A. Sharma, C.W. Omlin, “Determining Cluster Boundaries using Particle Swarm Optimization”, Proceedings of the World Academy of Science, Engineering & Technology, pp. 250-254, 2006.

C. Scheffler, K.H. Scheffler, C.W. Omlin, “Articulated Tree Structure from Motion - A Matrix Factorization Approach”, Transactions of the South African Institute of Electrical Engineers, Special Issue on Pattern Recognition: Theory and Applications, 2005.

R.S. Kroon, C.W. Omlin, “Getting to Grips with Support Vector Machines: Theory”, South African Statistical Journal, Vol. 28, No. 2, p. 93-114, 2004.

R.S. Kroon, C.W. Omlin, “Getting to Grips with Support Vector Machines: Application”, South African Statistical Journal, Vol. 28, No. 2, p. 159-172, 2004.

C.W. Omlin, S. Snyders, ``Inductive Bias in Knowledge-Based Neural Networks: Application to Magnetic Resonance Spectroscopy of Breast Tissues'', Artificial Intelligence in Medicine, Vol. 28, No.2, p121-140, 2003.

A. Vahed, C.W. Omlin, ``A Machine Learning Approach to Extraction of Symbolic Knowledge from Recurrent Neural Networks'', Neural Computation, Vol. 16, No. 1, p. 59-71, 2004.

C.L. Giles, C.W. Omlin, K.K. Thornber, ``Equivalence in Knowledge Representation: Automata, Recurrent Neural Networks, and Dynamical Fuzzy Systems'', Proceedings of the IEEE (Special Issue on Computational Intelligence), D.B. Fogel, T. Fukuda, L. Guan (Eds.) , Vol. 87, No. 9, p. 1623-1640, 1999.

C.W. Omlin, K.K. Thornber, C.L. Giles, ``Fuzzy Finite State Automata can be Deterministically Encoded into Recurrent Neural Networks'', IEEE Transactions on Fuzzy Systems, Vol. 6, No. 1, p. 76-89, 1998.

C.W. Omlin, C.L. Giles, ``Constructing Deterministic Finite-State Automata in Recurrent Neural Networks'', Journal of the Association or Computing Machinery, Vol. 43, No. 6, p. 937-972, 1996.

C.W. Omlin, C.L. Giles, ``Extraction of Rules from Discrete-Time Recurrent Neural Networks'', Neural Networks, Vol. 9, No. 1, p. 41-52, 1996.

C.W. Omlin, C.L. Giles, ``Stable Encoding of Large Finite-State Automata in Recurrent Neural Networks with Sigmoid Discriminants'', Neural Computation, Vol. 8, No. 4, 1996.

C.W. Omlin, C.L. Giles, ``Rule Revision with Recurrent Neural Networks'', IEEE Transactions on Knowledge and Data Engineering, Vol. 8, No. 1, p. 183-188, 1996.

C.L. Giles, C.W. Omlin, ``Pruning Recurrent Neural Networks for Improved Generalization Performance'', IEEE Transaction on Neural Networks, vol. 5, No.5, p. 848-851, 1994.

 

Publications in International Refereed Conference Proceedings

R. Chandra, R. Deo, C.W. Omlin, “An Architecture for Encoding Two-Dimensional Cyclone Track Prediction in Coevolutionary Recurrent Neural Networks”, International Joint Conference on Neural Networks, p. 4865-4872,2016.

D. Bingol, T. Celik, C.W. Omlin, H.B. Vadapalli, “Facial Action Unit Intensity Estimating using Rotation-Invariant Features and Regressions Analysis”, International Conference on Image Processing, pp. 1381-1385, 2014.

H. B. Vadapalli, H.O. Nyongesa, C.W. Omlin, “Classifying Facial Action Units: Use of Time Variant Data and Recurrent Neural Networks”,International Conference on Pattern Recognition and Information Processing, pp. 64-68, 2011.

H. B. Vadapalli, H.O. Nyongesa, C.W. Omlin, “Facial Action Unit Recognition Using Recurrent Neural Networks”, International Conference on Image Processing, Computer Vision, and Pattern Recognition, pp.357-361, 2009. 

R. Chandra, C. W. Omlin,” Evolutionary One-Step Gradient Descent for Training Recurrent Neural Networks”, Proceedings of International Conference on Genetic and Evolutionary Methods, pp. 305-311, 2008.

R. Chandra, C.W. Omlin, “Combining Genetic and Gradient Descent Learning in Recurrent Neural Networks: An Application to Speech Phoneme Classification”, International Conference on Artificial Intelligence and Pattern Recognition, p. 278-285, 2007.

R. Chandra, C.W. Omlin, “A Hybrid Recurrent Neural Networks Architecture Inspired by Hidden Markov Models: Training and Extraction of Deterministic Finite Automaton”, International Conference on Artificial Intelligence and Pattern Recognition, p. 286-293, 2007.

R. Chandra and C. W. Omlin, “Hybrid Recurrent Neural Networks: An Application to Phoneme Classification” International Conference on Genetic and Evolutionary Methods,, pp. 57-62, 2007.

R. Chandra and C. W. Omlin, "Combining Genetic and Gradient Descent Learning in Recurrent Neural Networks: An Application to Speech Phoneme Classification", Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, pp. 278-285, 2007.

R. Chandra and C. W. Omlin, "Hybrid Recurrent Neural Networks Architecture Inspired by Hidden Markov Models: Training and Extraction of Deterministic Finite Automaton", Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition,  pp. 286-293, 2007.

R. Chandra and C. W. Omlin, “Knowledge Discovery using Artificial Neural Networks for a Conservation Biology Domain” International Conference on Data Mining, pp. 221-227, 2007.

D. Umuhoza, J. Agbinya, C.W. Omlin, “Estimation of Trust Metrics for MANET using QoS Parameter and Source Routing Algorithms”, 2nd International Conference on Wireless Broadband and Ultra Wideband Communications,  2007.

R. Chandra, C.W. Omlin, “Training and Extraction of Fuzzy Finite State Automata in  Recurrent Neural Networks”, International Conference on Computational Intelligence, 2006, p. 274-279.

A. Sharma, C.W. Omlin, “Cluster Extraction with Particle Swarm Optimimzation”, International Conference on Neural Networks, 2006.

D. Umuhoza, M. Momani, J. Agbinya, C.W. Omlin, ``On Trust Metric and Trust Modelling in Mobile Ad Hoc Networks'', IEEE ICTe Africa 2006, accepted for publication, 2006.

J. Whitehill, C.W. Omlin, ``Haar Features for FACS AU Recognition'', 7th International Conference on Automatic Face and Gesture Recognition (FGR06), pp. 97-101, 2006 .

J. Whitehill, C.W. Omlin, ``Local versus Global Segmentation for Facial Expression Recognition'', 7th International Conference on Automatic Face and Gesture Recognition (FGR06), accepted for publication, pp. 357-362, 2006.

O.P. Kogeda, J.I. Agbinya, C.W. Omlin, ``A probabilistic Approach to Faults Prediction in Cellular Networks'', Proceedings of the 5th IEEE International Conference on Networking  2006.

O.A. Abidogun, C.W. Omlin,”Fraud Detection in Mobile Telecommunication Networks: Call Profiling with Unsupervised Neural Networks”, Proceedings of the 12th International IEEE Conference on Telecommunications, 2005.

R.C. Staudemeyer, D. Umuhoza,  C.W. Omlin, “Attacker Models, Traffic Analysis and Privacy Threats in IP Networks”, Proceedings of the 12th International IEEE Conference on Telecommunications, 2005.

P. Kogeda, J.I. Agbinya, C.W. Omlin, ``Impacts and Cost of Faults on Services in Cellular Networks'', 4th International Conference on Mobile Business (ICMB2005), p. 551-555, 2005.

R. Chandra, R. Knight, C.W. Omlin, ``A Neurocomputing Paradigm for Environmental Decision Support Systems'', International Conference on Environmental Management, 2005.

R.K. Vadapalli, R. Knight, C.W. Omlin, ``Time Series Change Analysis of the Vegetation in Namaqualand, South Africa'',  International Conference on Environmental Management, 2005.

P. Kogeda , J.I. Agbinya and C.W. Omlin; “Probabilistic faults prediction in cellular networks”, 1st International Conference on Computers, Communications, and Signal Processing, 2005.

O.A. Abidogun, C.W. Omlin,”Call Profiling using Self-Organizing Maps”, in M. Mohammadian (Ed), Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation, p. 371-379, 2004.

D. Walsh, C.W. Omlin, ``Automatic Detection of Image Orientation with Support Vector Machines'', T. Hendtlass, M. Ali (Eds.), Developments in Applied Artificial Intelligence, LNAI, Vol. 2358, p. 36, 2002. Intelligence and Expert Systems, 2002.

J. van Zyl, C.W. Omlin, ``Knowledge-Based Neural Networks for Modelling Time Series'', International Workshop on Artificial Neural Networks, Lecture Notes in Computer Science, Springer Verlag, Vol. 2085, p. 579, 2001.

J. van Zyl, C.W. Omlin, ``Prediction of Seismic Events in Mines using Neural Networks'', International Joint Conference on Neural Networks, p. 1492-1497, 2001.

S. Snyders, C.W. Omlin, ``Inductive Bias in Recurrent Neural Networks'', Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence Lecture Notes in Computer Science, Vol. 2084, Springer Verlag, p. 339-346, 2001.

S. Snyders, C.W. Omlin, ``Rule Extraction from Knowledge-Based Neural Networks with Adaptive Inductive Bias'', International Conference on Neural Information Processing, Vol. 1, p. 143-148, 2001.

A. Kruger, C.L. Giles, F. Coetzee, E. Glover, G.W. Flake, S. Lawrence, C. W. Omlin, ``DEADLINER: Building a Niche Search Engine'', Conference on Information and Knowledge Management, 2000.

T. Wessels, C.W. Omlin, ``Refinement of Hidden Markov Models with Recurrent Neural Networks'', International Joint Conference on Neural Networks, 2000.

T. Wessels, C.W. Omlin, ``A Hybrid System for Signature Verification'', International Joint Conference on Neural Networks, 2000.

S. Snyders, C.W. Omlin, ``What Inductive Bias Gives Good Neural Network Training Performance?'', International Joint Conference on Neural Networks, 2000.

A. Vahed, C.W. Omlin, ``Rule Extraction from Recurrent Neural Networks using a Symbolic Machine Learning Algorithm'', Proceedings International Conference on Neural Information Processing, Vol. 2, p. 712-717, 1999.

C.W. Omlin, K.K. Thornber, C.L. Giles, ``Deterministic Representation of Fuzzy Finite-State Automata in Recurrent Neural Networks'', Proceedings of the IEEE International Conference on Neural Networks, 1996.

C.L. Giles, C. W. Omlin, B.G. Horne, ``Recurrent Neural Networks: Representation and Synthesis of Automata and Sequential Machines'' (invited paper), Proceedings of the IEEE International Conference on Neural Networks, 1996.

C.L. Giles, C. W. Omlin, ``Learning, Representation, and Synthesis of Discrete Dynamical Systems in Continuous Recurrent Neural Networks'' (invited paper), Proceedings of the IEEE Workshop on Architectures for Semiotic Modeling and Situation Analysis in Large Complex Systems, J. Albus, A. Meystel, D. Pospelov, T. Reader (eds.), AdRem Inc., Balas Cynwyd, PA, p. 336, 1995.

C.W. Omlin, C.L. Giles, B.G. Horne, L.R. Leerink, T. Lin, ``Training Recurrent Neural Networks with Temporal Input Encodings'', Proceedings of the IEEE International Conference on Neural Networks, (ICNN'94), p. 1267-1272, 1994.

C.W. Omlin, C.L. Giles, ``Constructing Deterministic Finite-State Automata in Sparse Recurrent Neural Networks'', Proceedings of the IEEE International Conference on Neural Networks (ICNN'94), p. 1732-1737, 1994.

C.W. Omlin, C.L. Giles, ``Integrating Temporal Symbolic Knowledge and Recurrent Neural Networks'' (invited paper), Proceedings of the International Symposium Integrating Knowledge and Neural Heuristics (ISIKNH'94), p.25-31, 1994.

C.W. Omlin, C.L. Giles, ``Pruning Recurrent Neural Networks for Improved Generalization Performance'', J. Vlontzos, J.N. Hwang, E. Wilson (Eds.), Neural Networks for Signal Processing IV: Proceedings of the 1994 IEEE Workshop, p. 690-699, 1994.

C.W. Omlin, C.L. Giles, ``Rule Refinement with Recurrent Neural Networks'', Proceedings of the IEEE International Conference on Neural Networks (ICNN'93), Vol. 2, p. 801-806, 1993.

C.W. Omlin, C.L. Giles, C.B. Miller, ``Heuristics for the Extraction of Rules from Discrete-Time Recurrent Neural Networks'', Proceedings of the International Joint Conference on Neural Networks (IJCNN'92), Baltimore, MD, Vol.1, p.33-38, 1992.

C.L. Giles, C.W. Omlin, ``Inserting Rules into Recurrent Neural Networks'', S.Y. Kung,F. Fallside, J. A. Sorenson, C.A. Kamm (Eds.), Neural Networks for Signal Processing II: Proceedings of The 1992 IEEE Workshop, Copenhagen, Denmark, p.13-22, 1992.

C.W. Omlin, C.L. Giles, ``Training Second-Order Recurrent Neural Networks using Hints'', D. Sleeman P. Edwards (Eds.), Proceedings of the Ninth International Conference on Machine Learning (ML'92), Morgan Kaufmann Publishers, San Mateo, CA, p.363-368, 1992.

 

Publications in Local Refereed Conference Proceedings 

R.C. Staudemeyer, C.W. Omlin, “Evaluating Performance of Long Short-Term Memory Recurrent Neural Networks on Intrusion Detection Data”, Proceedings of the South African Institute for Computer Scientists and Information Technologist,  p. 218-224, 2013.

H.B. Vadapalli, H. Nyongesa, and C.W. Omlin, "Recurrent Neural Networks for Facial Action Unit Recognition from Image Sequences", in Proceedings of the 21st Annual Symposium of the Pattern Recognition Association of South Africa (PRASA), November, p.. 269-273, 2010.

R. Staudemeyer, C.W. Omlin, “Feature Set Reduction for Automatic Network Intrusion Detection with Machine Learning Algorithms”, Proceedings of the Southern Africa Telecommunication Networks and Applications Conference, 2009.

O.P. Kogeda, J. Agbinya, C.W. Omlin, “Probabilistic Fault Prediction in Cellular Networks”, Proceedings of the Southern Africa Telecommunication Networks and Applications Conference, 2007.

C. Abidogun, C.W. Omlin, “A Self-Organizing Maps Model for Outlier Detection in Call Data from Mobile Telecommunications Networks, Proceedings of the Southern Africa Telecommunication Networks and Applications Conference, 2004.

O. Abidogun, C.W. Omlin, “Intelligent Fraud Detection”, Proceedings of the 1st African Conference on the Digital Common,, 2004..

P. Kogeda, J. Agbinya, C.W. Omlin, “Faults and Service Modelling for Cellular Networks”, Proceedings of the Southern Africa Telecommunication Networks and Applications Conference, 2004.

R.S. Kroon, C.W. Omlin, ``Bounding Generalization of Support Vector Machines", Proceedings of the 50th South African Statistical Conference, Johannesburg, South Africa, 2003.

C. Scheffler, K. Scheffler, C. W. Omlin, ``Articulated Tree Structure From Motion - A Matrix Factorisation Approach'', Proceedings of the fourteenth Annual Symposium of the Pattern Recognition Association of South Africa,  2003.

C. Tiflin C.W. Omlin, “LSTM Recurrent Neural Networks for Signature Verification”, Proceedings of the Southern Africa Telecommunication Networks and Applications Conference, 2003.

M. Schulze, K. Scheffler, C.W. Omlin,  “Recognizing Facial Actions with Support Vector Machines”, Proceedings of the Thirteenth Annual Symposium of the Pattern Recognition Association of South Africa, 2002.

S. Naidoo, M. Glaser, C.W. Omlin, “Recognition of Static Hand Gestures for SASL Translation”, Proceedings of the 5th South African Conference on Telecommunications, Networks, and Applications, 2002.

W.H. Andrag, C.W. Omlin, ``Q-Routing for Congestion Control in Telecommunication Networks with Limited Buffer Size'', Proceedings of the 4th South African Conference on Telecommunications, Networks, and Applications, 2001.

W.H. Andrag, C.W. Omlin, ``Optimization of Multiple Objectives in Telecommunication Networks using Intelligent Agents'', Proceedings 3rd South African Conference on Telecommunications, Networks, and Applications, p. 302-306, 2000.

W.H. Andrag, C.W. Omlin, ``Distributed Intelligent Multi-Agents for Telecommunication Network Management'', Proceedings 2nd South African Conference on Telecommunications, Networks, and Applications, p. 302-306, 1999.

T. Wessels, C.W. Omlin, ``Refining Hidden Markov Models with Recurrent Neural Networks'', Proceedings Proceedings 2nd South African Conference on Telecommunications, Networks, and Applications, p. 368-373, 1999.

 

Unpublished Manuscript

J. Connan, C.W. Omlin, “Bibliography Extraction with Hidden Markov Models”, Department of Computer Science, University of Stellenbosch, 2000.

F. Coetzee, A. Kruger, C.L. Giles, S. Lawrence, G. Flake, C.W. Omlin, “Binary Feature Selection and Integration in Specialized Search Engines, University of Stellenbosch, 2000.

CW Omlin, CL Giles, "Dynamic Adaptation or Recurrent Neural Network Architectures Guided by Symbolic Knowledge, University of Stellenbosch, 1999.


Patents

CW Omlin, CL Giles, Fault Tolerant Implementation, or Deterministic Finite State Automata in Recurrent Neural Networks, NEC Research Institute, U.S. Patent No. 5,706,400, 1998.

CL Giles, CW Omlin, KK Thornber, Deterministic Encoding or Fuzzy Finite State Automation in Recurrent Neural Networks, NEC Research Institute, U.S. Patent No. 5,943,659, 1999.

Last changed: 18.10.2018 11:10

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