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Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing.

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In dialogue with a range of post-enlightenment critiques of Christian theologies regarding sacrificial love, Asle Eikrem presents an unconventional systematic approach to...

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During the last decade or so vaccine development has been facilitated by rapid ad­ vances in the molecular and cell biology ofthe immune system. This has laid the foundations...

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This book offers a comparative analysis of organizations and networks involved in nature protection in France, Germany, Italy, the Netherlands, Norway, Poland, Sweden, the UK...

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The aim of this book is to impart a sound understanding, both physical and mathematical, of the fundamental theory of vibration and its applications. The book presents in a...

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