<i>Cognitive Systems - Information Processing Meets Brain Science</i> presents an overview of the exciting, truly multidisciplinary research by neuroscientists and systems engineers in the emerging field of cognitive systems, providing a cross-disciplinary examination of this cutting-edge area of scientific research. This is a great example of where research in very different disciplines touches to create a new emerging area of research. The book illustrates some of the technical developments that could arise from our growing understanding of how living cognitive systems behave, and the ability to use that knowledge in the design of artificial systems. This unique book is of considerable interest to researchers and students in information science, neuroscience, psychology, engineering and adjacent fields.

Cognitive Systems - Information Processing Meets Brain Science

Computers & Technology

Kenward, Michael

Tarassenko, Lionel

Morris, Richard G.M.

Computer Science

Academic Press

Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities. A few simple algorithms will learn relationships between cause and effect or organise large volumes of data into orderly and informative patterns but they cannot solve every problem and consequently their application must be chosen carefully and appropriately. This book outlines how best to make use of neural networks. It enables newcomers to the technology to construct robust and meaningful non-linear models and classifiers and benefits the more experienced practitioner who, through over familiarity, might otherwise be inclined to jump to unwarranted conclusions. The book is an invaluable resource not only for those in industry who are interested in neural computing solutions, but also for final year undergraduates or graduate students who are working on neural computing projects. It provides advice which will help make the best use of the growing number of commercial and public domain neural network software products, freeing the specialist from dependence upon external consultants.

Guide to Neural Computing Applications

Butterworth-Heinemann

Outlines how to make use of neural networks and teaches readers how to avoid some of the obvious, and not so obvious pitfalls which often lead to the unnecessary failure of objects. This unique book enables engineers to construct robust and meaningful non-linear models and classifiers, and benefits the more experienced practitioner.

A Guide to Neural Computing Applications

wiley

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Books by Tarassenko, Lionel