 | N. B. Jones, J. D. McK. Watson - 1990 - 424 lapas
...LAYER PROCESSING ELEMENT tt INPUT Figure 2 : Typical Multi Layer Perception Network Every MLP has a input layer, one or more hidden layers, and an output layer. The processing is performed in the hidden and output layers. In terms of performance, training signals... | |
 | Kevin Swingler - 1996 - 348 lapas
...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... | |
 | L.A. Ayres de Silva, A.P. Chaves, W.T. Hennies - 1996 - 740 lapas
...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... | |
 | P. Cheremisinoff - 1997 - 928 lapas
...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... | |
 | Mo-Yuen Chow - 1997 - 162 lapas
...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,... | |
 | Ignazio Crivelli Visconti - 1998 - 694 lapas
...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... | |
 | Lakhmi C. Jain, R.P. Johnson, Yoshiyasu Takefuji, Lofti A. Zadeh - 1998 - 350 lapas
...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,... | |
 | Ruguo Hu - 1999 - 248 lapas
...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 outside... | |
 | Max A. Bramer - 1999 - 334 lapas
...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.... | |
 | 溝口理一郎 - 2000 - 858 lapas
...[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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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. 
