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Frontiers in Computing Technologies for Manufacturing ApplicationsCellular Neural Networks in Intelligent Sensing and Diagnosis

Frontiers in Computing Technologies for Manufacturing Applications: Cellular Neural Networks in... Cellular Neural Networks in Intelligent Sensing and Diagnosis 4.1 The Cellular Neural Network as an Associative Memory Computers invented in 21st century are now essential not only for industrial technology but for our daily lives. The neumann type of computers used widely at present are able to process mass information rapidly. These computers read instructions from a memory store and execute them in a central processing unit at high speed. This is why computers are superior to human beings in fields like numerical computations. However, even if a computer is of high speed, it is far behind human beings in its capacity for remembering the faces of other human beings and discrimi- nating a specific face from a crowd; in other words, the capacity to remember and recognize complex patterns. Furthermore, the intelligence and behavior of human being evolve gradually by learning and training and human beings adapt themselves to changes in the environment. Hence the “neuro-computer”, which is based on the neural network (NN) model of human beings was de- veloped and is now one of the important studies in the field of information processing systems [1]. For example, as one imagines “red” when looking at “apple”, association http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Frontiers in Computing Technologies for Manufacturing ApplicationsCellular Neural Networks in Intelligent Sensing and Diagnosis

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Publisher
Springer London
Copyright
© Springer-Verlag London Limited 2007
ISBN
978-1-84628-954-5
Pages
125 –157
DOI
10.1007/978-1-84628-955-2_4
Publisher site
See Chapter on Publisher Site

Abstract

Cellular Neural Networks in Intelligent Sensing and Diagnosis 4.1 The Cellular Neural Network as an Associative Memory Computers invented in 21st century are now essential not only for industrial technology but for our daily lives. The neumann type of computers used widely at present are able to process mass information rapidly. These computers read instructions from a memory store and execute them in a central processing unit at high speed. This is why computers are superior to human beings in fields like numerical computations. However, even if a computer is of high speed, it is far behind human beings in its capacity for remembering the faces of other human beings and discrimi- nating a specific face from a crowd; in other words, the capacity to remember and recognize complex patterns. Furthermore, the intelligence and behavior of human being evolve gradually by learning and training and human beings adapt themselves to changes in the environment. Hence the “neuro-computer”, which is based on the neural network (NN) model of human beings was de- veloped and is now one of the important studies in the field of information processing systems [1]. For example, as one imagines “red” when looking at “apple”, association

Published: Jan 1, 2007

Keywords: Cellular Automaton; Associative Memory; Sound Signal; Cellular Neural Network; Maximum Entropy Method

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