Static and Dynamic Neural Networks

MADAN M. GUPTA is a professor in the Intelligent Systems Research Laboratory at the University of Saskatchewan, Canada. He received a BE from the Birla Institute of Technology and Science, Pilani, India, and a PhD from the University of Warwick, Canada. A Fellow of the IEEE and the SPIE, Professor Gupta has been awarded the Kaufmann Prize Gold Medal for Research in the field of fuzzy logic. LIANG JIN received a BS and MSc in electrical engineering from the Changsha Institute of Technology, China, and a PhD in electrical engineering from the Chinese Academy of Space Technology. He is a senior member of the technical staff at Agere Systems in Allentown, Pennsylvania. NORIYASU HOMMA earned a BA, MA, and PhD in electrical and communication engineering from Tohoku University, Japan, where he is an associate professor. He is currently a visiting professor at the Intelligent Systems Research Laboratory, College of Engineering, University of Saskatchewan, Canada.

• Foreword: Lotfi A. Zadeh. Preface.Acknowledgments.PART I: FOUNDATIONS OF NEURAL NETWORKS.Neural Systems: An Introduction.Biological Foundations of Neuronal Morphology.Neural Units: Concepts, Models, and Learning.PART II: STATIC NEURAL NETWORKS.Multilayered Feedforward Neural Networks (MFNNs) and Backpropagation Learning Algorithms.Advanced Methods for Learning Adaptation in MFNNs.Radial Basis Function Neural Networks.Function Approximation Using Feedforward Neural Networks.PART III: DYNAMIC NEURAL NETWORKS.Dynamic Neural Units (DNUs): Nonlinear Models and Dynamics.Continuous-Time Dynamic Neural Networks.Learning and Adaptation in Dynamic Neural Networks.Stability of Continuous-Time Dynamic Neural Networks.Discrete-Time Dynamic Neural Networks and Their Stability.PART IV: SOME ADVANCED TOPICS IN NEURAL NETWORKS.Binary Neural Networks.Feedback Binary Associative Memories.Fuzzy Sets and Fuzzy Neural Networks.References and Bibliography.Appendix A: Current Bibliographic Sources on Neural Networks.Index.