Neural Networks in a Softcomputing Framework

• Main Authors: Du, K. -L (Author), Swamy, M. N. S. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2006.
• Subjects: Engineering.; Computers.; Artificial intelligence.; Pattern recognition.; Statistical physics.; Dynamical systems.; Computational intelligence.; Computational Intelligence.; Statistical Physics, Dynamical Systems and Complexity.; Computation by Abstract Devices.; Artificial Intelligence (incl. Robotics).; Signal, Image and Speech Processing.; Pattern Recognition.

Conventional model-based data processing methods are computationally expensive and require experts’ knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution. Neural Networks in a Softcomputing Framework presents a thorough review of the mo...

Table of Contents:

• Fundamentals of Machine Learning and Softcomputing
• Multilayer Perceptrons
• Hopfield Networks and Boltzmann Machines
• Competitive Learning and Clustering
• Radial Basis Function Networks
• Principal Component Analysis Networks
• Fuzzy Logic and Neurofuzzy Systems
• Evolutionary Algorithms and Evolving Neural Networks
• Discussion and Outlook.