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神经网络概述.docx

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神经网络概述.docx

上传人:miao19720107 2018/2/16 文件大小:33 KB

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文档介绍:外文原文与译文
外文原文
work Introduction

As you read these words you are using plex biological work. You have a highly interconnected set of some 1011 neurons to facilitate your reading, breathing, motion and thinking. Each of your biological neurons,a rich assembly of tissue and chemistry, has plexity, if not the speed, of a microprocessor. Some of your neural structure was with you at birth. Other parts have been established by experience.
Scientists have only just begun to understand how biological works operate. It is generally understood that all biological neural functions, including memory, are stored in the neurons and in the connections between them. Learning is viewed as the establishment of new connections between neurons or the modification of existing connections.
This leads to the following question: Although we have only a rudimentary understanding of biological works, is it possible to construct a small set of simple artificial “neurons” and perhaps train them to serve a useful function? The answer is “yes.”This book, then, is about artificial works.
The neurons that we consider here are not biological. They are extremely simple abstractions of biological neurons, realized as elements in a program or perhaps as circuits made of silicon. Networks of these artificial neurons do not have a fraction of the power of the human brain, but they can be trained to perform useful functions. This book is about such neurons, works that contain them and their training.

The history of artificial works is filled with colorful, creative individuals from many different fields, many of whom struggled for decades to
develop concepts that we now take for granted. This history has been documented by various authors. One particularly interesting book is puting: Foundations of Research by John Anderson and Edward Rosenfeld. They have collected and edited a set of some 43 papers of special historical interest. Each paper is preceded by an introduction

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