Artificial neural networks may probably be the single most successful
technology in the last two decades which has been widely used in a large
variety of applications. The purpose of this book is to provide recent
advances of architectures, methodologies, and applications of
artificial neural networks. The book consists of two parts: the
architecture part covers architectures, design, optimization, and
analysis of artificial neural networks; the applications part covers
applications of artificial neural networks in a wide range of areas
including biomedical, industrial, physics, and financial applications.
Thus, this book will be a fundamental source of recent advances and
applications of artificial neural networks. The target audience of this
book includes college and graduate students, and engineers in
companies.
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