Neural computing technologies applications

Here, the key neural computing technologies and their application to formulation and formulation optimization are reviewed. 

This part of the book consists of one chapter (Chapter 1) to provide an overview of the domain field, genome informatics, with its major research areas and technologies a brief summary of the computational technology, artificial neural networks , and a summary of genome informatics applications. The latter two topics are further expanded into Part II, Neural Network Foundations, and Part III, Genome Informatics Applications. 

Applications of neural computing in this field are as numerous as they are diverse and it is appropriate to review them based on the technology (or release rate controlling mechanism) used in the formulation of the product. 

Smith, G.C. and Wrobel, C.L. (1998). Neural networks in industrial and environmental applications. In Soft Computing in Systems and Control Technology (Tzafestas, S.G., Ed.). World Scientific Press, Hong Kong, pp. 445-466. 

Donna Hudson, PhD, President, IEEE Engineering in Medicine and Biology Society Professor and Director of Academic Research and Technology, University of California, San Francisco Past-President, International Society for Computers and Their Applications Co-Author of Neural Networks and Artificial Intelligence for Biomedical Engineering (Wiley-IEEE Press), USA... 

Hamdan H (2004) The Application of Backpropagation Neural Network in the Prognosis of Breast Cancer. Master s thesis. Faculty of Computer Science and Information Technology, University Malaya,... 

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