Intelligent Engineering Systems Through Artificial Neural Networks: Proceedings of the Artificial Neural Networks in Engineering (ANNIE ... ) Conference, Volume 4ASME Press, 1994 - Intelligent control systems |
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Page 346
... crossover mechanisms and the methods involved to obtain them . The crossover mechanisms here are also described in the paper by Oliver ( 1987 ) . The first crossover mechanism studied was Order Based Crossover ( OX ) . OX involves ...
... crossover mechanisms and the methods involved to obtain them . The crossover mechanisms here are also described in the paper by Oliver ( 1987 ) . The first crossover mechanism studied was Order Based Crossover ( OX ) . OX involves ...
Page 354
... Crossover operator : After the new population is built by a reproduction operator , a re- combination operator ( Crossover ) generates new offspring by exchanging and combining a pair of genes which are randomly sampled . The crossover ...
... Crossover operator : After the new population is built by a reproduction operator , a re- combination operator ( Crossover ) generates new offspring by exchanging and combining a pair of genes which are randomly sampled . The crossover ...
Page 371
... crossover operators are considered ( Figure 1 ) . • C1 ( Order - Based Machinable Volume Exchange Crossover ) . The machinable volume is selected which consists of the same elementary volumes in two parents , and the order of them is ...
... crossover operators are considered ( Figure 1 ) . • C1 ( Order - Based Machinable Volume Exchange Crossover ) . The machinable volume is selected which consists of the same elementary volumes in two parents , and the order of them is ...
Contents
Clusters of Chained Neural Architectures | 5 |
Modular Neural Networks for Function Approximation | 11 |
A Constructive Algorithm for S O M Applied to Water Quality | 17 |
Copyright | |
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activation adaptive analysis applications approach approximation architecture Artificial Neural Networks B-Spline backpropagation binary cell classification cluster coefficients convergence corresponding crossover data set defined dimension distribution dynamics Engineering equation error estimation evaluation feature filter fractal fractal dimension frequency fuzzy controller fuzzy logic fuzzy set genetic algorithm hidden layer hidden units identification IEEE IEEE Trans implementation input pattern iterations Kohonen learning algorithm linear matrix membership functions membrane potential memory method module neural net neural network model neurons nodes nonlinear obtained operation optimal output layer paper parameters pattern recognition performance phase pixels points potential prediction problem Proc proposed protein ratio representation represented Rumelhart samples scheme segmentation selected sequence shown in Figure shows sigmoid sigmoid function signal simulation space step structure supervised learning techniques threshold training set trajectory updated values variables vector wavelet transform weights