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The weights of these neurons are adjusted depending on relations of the inputs and outputs to the neuron. There are a number of layers such as input layer, output layer, and hidden layers. AUTOMATION AND CONTROL EQUIPMENT general, the following sigmoid activation function is often used: vj = 1 1 + e(−β φ j) (25) where v is the activation at neuron j with the value of potential ␾, and ͱ controls the steepness of the activation function. The network is comprised of synapses connecting the layer of neurons and the input potential.

See HOME AUTOMATION. AUTOMATION OF BANKS. See BRANCH AUTOMATION. AUTOMATION, OFFICE. See OFFICE AUTOMATION. AUTOMATION OF POSTAL SERVICES. See POSTAL SERVICES. CTRONICS%20ENGINEERING/28. htm }{{}} ● HOME ● ABOUT US ● CONTACT US ● HELP Home / Engineering / Electrical and Electronics Engineering Wiley Encyclopedia of Electrical and Electronics Engineering Building Wiring Standard Article Walter P. von Pattay1 1Siemens AG, Munchen, Germany Copyright © 1999 by John Wiley & Sons, Inc. All rights reserved.

Now the fuzzy relationship can be established in the form of IF A THEN B. The relationship function denoted by R can be defined as R ϭ A ϫ B in which the values are calculated from µR (x, y) = µA×B (x, y) = min[µA (x), µB ( y)] (22) In the context of control, a sample relationship or rule can be established as IF the error is large, THEN the control action is large. A set of rules is then required to represent the knowledge on how to determine the output based on the fuzzy inputs. This µ 1 A Short Medium Tall (20) 0 where Ȑ is the membership value between 0 and 1, X is the physical height and A is the fuzzy term.

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28.Industry Applications by John G. Webster (Editor)

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