Title: Neural networks
First published: 1990
Description: The concepts of neural-network models and techniques of parallel distributed processing are comprehensively presented in a three-step approach: - After a brief overview of the neural structure of the brain and the history of neural-network modeling, the reader is introduced to "neural" information processing, i.e. associative memory, perceptrons, feature-sensitive networks, learning strategies, and practical applications. - Part 2 covers more advanced subjects such as spin glasses, the mean-field theory of the Hopfield model, and the space of interactions in neural networks. - The self-contained final part discusses seven programs that provide practical demonstrations of neural-network models and their learning strategies. Ample opportunity is given to improve and modify the source codes. The software is included on a 5 1/4 inch MS DOS diskette and can be run using Borland's TURBO C 2.0 compiler, the Microsoft C compiler (5.0), or compatible compilers.
Subjects: Models, Neurological, Nervous system, Neural networks (Computer science), Neurological Models, Neural networks, Neurosciences, Artificial Intelligence - General, Mechanics - Dynamics - Thermodynamics, Neuroscience, Konnektionismus (Kybern.), Künstliche Intelligenz, Neuronennetz, Parallelverarbeitung (EDV), Science / Thermodynamics, artificial intelligence, brain research, distributed processing, neural computing, Neural networks (Computer scie, Science, Artificial Intelligence (incl. Robotics), Thermodynamics, Physics, Dynamical Systems and Complexity Statistical Physics