摘要
构造了水库群联合调度神经网络专家系统，提出了水库群运行调度的知识表示、知识获取和自适应训练学习、知识的自适应并行推理等方法。基于确定性优化技术ＰＯＡ法获得专家范例（即长系列操作计算结果），获得指导水库群联合运行的调度规则．模拟运行结果表明了所提方法的优越性。
Based on the optimal results of POA,an expert system with an artificial neural networkhas been developed.Methods for the knowledge representation,knowledge acquisition andthe adaptive learning as well as the parallel inference of the knowledge for multireservoir dis-patching are proposed.By long serial operation of stations inflow measured,it is shown thatthe method presented is better than the conventional approach of regression。
出处
《华中理工大学学报》
CSCD
北大核心
1994年第4期25-29,共5页
Journal of Huazhong University of Science and Technology
