Artificial Neural Networks draws together a range of studies in the exciting field of computation based on the model of the biological central nervous system. In recent years, the paradigm of the artificial neural network has attracted attention as an effective way of processing information too complex to be handled by traditional computing processes. This book is full of insights into this fast-developing area. The book is divided into sections considering the architecture and application of artificial neural networks, case studies and strategies in their application, emerging biomedical applications and finally their application in industrial and control engineering contexts. Among the diverse topics covered include the use of artificial neural networks in predicting the success or failure of businesses, their application as a tool of analysis in football tactics, medical image segmentation by use of artificial neural network, as well as applications in the textiles, minerals and food industries. The book will be of particular interest to researchers and technologists in biomedical science, computer scientists and engineers.
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