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中文摘要：
在水流量为模糊变量且河流中工业污水含量标准给定的条件下,分别建立了水污染控制系统问题的模糊期望值模型和模糊机会约束规划模型来满足不同的优化需求。为了有效求解优化模型,采用了将模糊模拟、神经元网络及遗传算法相结合的混合智能算法。最后用算例进行了验证,结果表明该算法是有效可行的。
英文摘要：
Two types of fuzzy models as expected value model and chance-constrained programming model for water pollution control system are built to satisfy different optimization requirements on condition that water current capacities are fuzzy variables and industrial sewage content standard in rivers is given. Then a hybrid intelligent algorithm integrating fuzzy simulation,neural network and genetic algorithm is designed to solve these models. Finally,a numerical experiment is illustrated to show the effectiveness of the algorithm. The result shows that the algorithm is feasible and effective.
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