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Books Books 1 - 10 of 19 on Figure 1, includes an input layer, one or more hidden layers, and an output layer.....
" Figure 1, includes an input layer, one or more hidden layers, and an output layer. The nodes in each layer are connected to each node in the adjacent layer. "
Data Mining, Southeast Asia Edition - Page 328
by Jiawei Han, Jian Pei, Micheline Kamber - 2006 - 800 pages
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Mine Planning and Equipment Selection 1996

L.A. Ayres de Silva, A.P. Chaves, W.T. Hennies - 1996 - 800 pages
...of training patterns. A neural network in its basic form is composed of several layers of neurons; an input layer, one or more hidden layers and an output layer. Each layer of neurons receives its input from the previous layer (referring to hidden layer and output...
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Applying Neural Networks: A Practical Guide

Kevin Swingler - 1996 - 303 pages
...in turn, used to predict the values on the output units. The network is arranged in layers of units: an input layer, one or more hidden layers, and an output layer. The value displayed by each unit is known as its activation and measures the degree to which it affects...
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Methodologies of Using Neural Network and Fuzzy Logic Technologies for Motor ...

Mo-Yuen Chow - 1997 - 140 pages
...Multi-layer Feedforward Neural Network Model The basic multi-layer feedforward net contains three components: an input layer, one or more hidden layers, and an output layer, as shown in Figure 2.3. Each network layer contains a set of processing units called nodes or neurons,...
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Handbook of Engineering Polymeric Materials

P. Cheremisinoff - 1997 - 888 pages
...succeeding layer. Neural networks that are organized in layers typically consist of at least three layers: an input layer, one or more hidden layers, and an output layer. The input and output layers serve as interfaces that perform the appropriate scaling relationship between...
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ECCM-8: European Conference on Composite Materials ; Science, Technologies ...

Ignazio Crivelli Visconti - 1998 - 654 pages
...neural network is so called the multi-layer perception (MLP) (Fig. l(b)). The architecture of an MLP consists of an input layer, one or more hidden layers and an output layer. Each neuron of the first hidden layer is connected either to all the neurons of the next hidden layer...
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Knowledge-Based Intelligent Techniques in Industry

Lakhmi C. Jain, R.P. Johnson, Yoshiyasu Takefuji, Lofti A. Zadeh - 1998 - 352 pages
...Feedforward Artificial Neural Networks The basic multi-layer feedforward net contains three components: an input layer, one or more hidden layers, and an output layer, as shown in Figure 12. Each network layer contains a set of processing units called nodes or neurons,...
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Knowledge Discovery and Data Mining

Max A. Bramer - 1999 - 308 pages
...was the type used in this analysis. Figure 12.1 shows the structure of a typical MLP. MLPs consist of an input layer, one or more hidden layers and an output layer. Data is fed into the input layer and transformed by weights and neurons as it flows through die network....
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Food Product Design: A Computer-Aided Statistical Approach

Ruguo Hu - 1999 - 240 pages
...into functional layers, which are organized groups of processing units. A neural network usually has an input layer, one or more hidden layers, and an output layer. The network topology is given by the number of processing units in each layer. Communication with the...
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PRICAI 2000 Topics in Artificial Intelligence: 6th Pacific Rim International ...

Pacific Rim International Conference on Artificial Intelligence 2000, 理一郎溝口, John Slaney - 2000 - 835 pages
...procedure [15], a supervised mode of training. The architecture of a BP network, as shown in Figure 2, consists of an input layer, one or more hidden layers and an output layer. There are i input nodes, j hidden nodes and k output nodes. All input nodes are connected to all hidden...
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Pricing Options with Futures-style Margining: A Genetic Adaptive Neural ...

A. Jay White - 2000 - 206 pages
...called neurons, nodes, or cells) and connections which are organized in layers. Generally you have an input layer, one or more hidden layers and an output layer. A feedforward neural network has two or more layers, each of which gets input from the former layer....
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