Principles of Neurocomputing for Science and Engineering

摘要: From the Publisher: This exciting new text covers artificial neural networks,but more specifically,neurocomputing. Neurocomputing is concerned with processing information,which involves a learning process within an network architecture. This architecture responds to inputs according defined rule and then trained can be used perform certain tasks depending on application. play important role in solving problems such as pattern recognition,optimization,event classification,control identification of nonlinear systems,and statistical analysis. "Principles for Science Engineering," unlike other networks texts,is written specifically scientists engineers who want apply solve complex problems. For each neurocomputing concept,a solid mathematical foundation presented along illustrative examples accompany that particular associated training algorithm. The book primarily intended graduate-level courses,but some instances may at undergraduate level. The includes many detailed extensive set end-of-chapter