This text is a graduate-level introduction to neural networks, focusing on current theoretical models, examining what these models can reveal about how the brain functions, and discussing the ramifications for psychology, artificial intelligence, and the construction of a new generation of intelligent computers. The book is divided into four...

This is an interdisciplinary field of research involving the use of neural network techniques for image recognition applied to tasks in the area of micromechanics. The book is organized into chapters on classic neural networks and novel neural classifiers; recognition of textures and object forms; micromechanics; and adaptive algorithms with...

Sexual difference in the brain has long been one of the more intriguing research areas in the field of neuroscience. This thorough and comprehensive text uncovers and explains recent neurobiological and molecular biological studies in the field of neuroscience as they relate to the mechanisms underlying sexual differentiation of the...

Following injury or disease, neural circuitry can be altered to varying degrees leading to highly individualized characteristics that may or may not resemble original function. In addition, lost or partially damaged circuits and the effects of biological recovery processes coupled with learned compensatory strategies create a new neuroanatomy...

Forty years have passed since the birth of fuzzy sets, in which time a wealth of theoretical developments, conceptual pursuits, algorithmic...

Learning Classifier Systems (LCS) constitute a fascinating concept at the intersection of machine learning and evolutionary computation. LCS’s genetic search, generally in combination with reinforcement learning techniques, can be applied to both temporal and spatial problem-solving and promotes powerful search in a wide variety of...

The potential value of artificial neural networks (ANN) as a predictor of malignancy has begun to receive increased recognition. Research and case studies can be found scattered throughout a multitude of journals. Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management brings together the work of top researchers -...