| 基于遗传算法的洪水灾情评估神经网络模型探讨 |
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| 引用本文： | 金菊良,魏一鸣.基于遗传算法的洪水灾情评估神经网络模型探讨[J].灾害学,1998,13(2):6-11. |
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| 作者姓名： | 金菊良 魏一鸣 |
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| 作者单位： | [1]河海大学 [2]中科院资源与环境信息系统国家重点实验室 |
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| 基金项目： | 国家“九五”科技攻关课题 |
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| 摘 要： | 洪水灾情评估实际上是一种模式识别问题，而人工神经网络模型具有逼近有界闭子集上任意非线性映射的特性，且模型更新方便。本文邮基于遗传算法的洪水灾情评估神经网络模型，阐述了其基本原理和算法，实例研究表明其实用性、客观性和通用性。
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| 关 键 词： | 洪水 灾情评估 神经网络 遗传算法 神经网络模型 |
INVESTIGATION OF GENETIC ALGORITHM BASED ON NEURAL NETWORK MODEL FOR EVALUATION OF FLOOD DISASTER |
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| Jin Juling, Wei Yiming, Yang Xiaohua.INVESTIGATION OF GENETIC ALGORITHM BASED ON NEURAL NETWORK MODEL FOR EVALUATION OF FLOOD DISASTER[J].Journal of Catastrophology,1998,13(2):6-11. |
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| Authors: | Jin Juling Wei Yiming Yang Xiaohua |
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| Abstract: | Evaluation of flood disaster is a pattern recognition problem in fact. Theartificial neural network model has the characteristics of expressing arbitrary nonlinearmapping and can be renewed easily. In this paper, the improved genetic algorithm basedon neural network model (GANN) for evaluation of fIood disaster is worked out and theprinciple and algorithms are described. The application of GANN to evaluation of flooddisaster shows its practicality, objectivity and generality. |
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| Keywords: | Evaluation of flood disaster Artificial neural network Genetic algorithm |
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