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Description: aiNet application is a very powerful and a very simple tool for solving the problems which are usually solved with artificial neural networks (ANN). All possible tests we had run proved that the results obtained with aiNet are at least as good as the results obtained with some other ANNs. Let us state some of aiNet抯 features.
(c) aiNet 1995-1997
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Size: 829458 |
Author: 段增强 |
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Description: I. A brief description of the aiNet application. II. How to set up the aiNet on your system. III. Some tips on using the aiNet IV. Example files
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Size: 1974136 |
Author: 贺龙 |
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Description: I. A brief description of the aiNet application. II. How to set up the aiNet on your system. III. Some tips on using the aiNet IV. Example files
Platform: |
Size: 1974272 |
Author: 贺龙 |
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Description: aiNet application is a very powerful and a very simple tool for solving the problems which are usually solved with artificial neural networks (ANN). All possible tests we had run proved that the results obtained with aiNet are at least as good as the results obtained with some other ANNs. Let us state some of aiNet抯 features.
(c) aiNet 1995-1997-aiNet application is a very powerful and a very simple tool for solving the problems which are usually solved with artificial neural networks (ANN). All possible tests we had run proved that the results obtained with aiNet are at least as good as the results obtained with some other ANNs. Let us state some of aiNet
Platform: |
Size: 829440 |
Author: 段增强 |
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Description: 免疫网络优化程序，用于多峰函数优化，精度高，收敛性好-Immune network optimization program for multimodal function optimization, high accuracy, good convergence
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Size: 3072 |
Author: shixuhua |
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Description: This paper explores basic aspects of the immune system and proposes a novel immune
network model with the main goals of clustering and filtering redundant data from
problems described by a set of discrete samples. It is not our concern to reproduce with
confidence any immune phenomenon, but to show that immune concepts can be used to
develop novel computational tools for data processing. As important results of our
model, the network evolved will be capable of reducing redundancy, describing data
structure, shapes and their cluster inter-relations. The data clustering approach will be
will be implemented in association with a statistical technique, and the network
performance will be illustrated using two benchmark problems. The paper is concluded
with a trade-off between the proposed network and artificial neural networks.
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Size: 91136 |
Author: namareq |
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Description: artificial immune network
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Size: 2048 |
Author: sepid |
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