Application of Imoproved BP Neural Networks Based on Genetic Algorithms toGroundwater Quality Evaluation
[1]FENG Dongqing,GUO Yan.Application of Imoproved BP Neural Networks Based on Genetic Algorithms toGroundwater Quality Evaluation[J].Journal of Zhengzhou University (Engineering Science),2009,30(03):126-129.
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
30卷
Number of periods:
2009年03期
Page number:
126-129
Column:
Public date:
1900-01-01
- Title:
- Application of Imoproved BP Neural Networks Based on Genetic Algorithms toGroundwater Quality Evaluation
- CLC:
- -
- DOI:
- -
- Abstract:
- A hybrid evaluation algorithm is proposed in this paper by combining BP neural network with genetic algorithms，in order to evaluate groundwater quality accurately and efficiently．In view of the multi—varia·ble and nonlinear characteristics of water assessment，BP neural network is introduced here to make compre—hensive evaluation and calculation．As for the shortcoming that BP algorithm is easily trapped to a local optimum，it can be overcomed through the introduction of genetic algorithms，and the two will work organically together to achieve the training and knowledge base establishment of the neural network．Through the compari—son of the algorithms and analysis of the results of the examples，the result shows this algorithm is valid．
- References:
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Last Update:
1900-01-01