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对传神经网络算法的改进及其应用 被引量:8
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作者 宋晓华 李彦斌 +1 位作者 韩金山 牛达 《中南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2008年第5期1059-1063,共5页
针对传统对传神经网络(Counter propagation networks,即CPN)要求输入向量必须均匀分布以及隐含层神经元个数难以确定,其应用受到很大局限等问题,对CPN算法进行改进并运用于电力负荷预测。研究结果表明:通过改进CPN算法的初始权重设置规... 针对传统对传神经网络(Counter propagation networks,即CPN)要求输入向量必须均匀分布以及隐含层神经元个数难以确定,其应用受到很大局限等问题,对CPN算法进行改进并运用于电力负荷预测。研究结果表明:通过改进CPN算法的初始权重设置规则,克服了对输入向量限制过于严格的不足;通过优化算法运行步骤,提高了算法的运行效果;改进后的CPN算法比BP算法所得预测结果误差小,比目前电力负荷预测研究中RBF和Elman神经网络所得预测结果误差也小;与BP算法相比,CPN改进算法的预测精度提高4%左右,运算时间减少45%,适用于电力负荷的预测。 展开更多
关键词 负荷预测 人工神经网络 BP神经网络 对传神经网络
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VIRTUAL TARGET DIFFERENTIAL GAME MIDCOURSE GUIDANCE LAW FOR HYPERSONIC CRUISE MISSILE BASED ON NEURAL NETWORK 被引量:2
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作者 桑保华 姜长生 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2008年第2期121-127,共7页
For the high altitude cruising flight phase of a hypersonic cruise missile (HCM), a relative motion mod- el between the missile and the target is established by defining virtual target and combining the theory of th... For the high altitude cruising flight phase of a hypersonic cruise missile (HCM), a relative motion mod- el between the missile and the target is established by defining virtual target and combining the theory of the dif- ferential geometry with missile motion equations. Based on the model, the motion between the missile and the tar- get is considered as a single target differential game problem, and a new open-loop differential game midcourse guidance law (DGMGL) is deduced by solving the corresponding Hamiltonian Function. Meanwhile, a new struc- ture of a closed-loop DGMGL is presented and the training data for back propagation neural network (BPNN) are designed. By combining the theory of BPNN with the open-loop DGMGL obtained above, the law intelligence is realized. Finally, simulation is carried out and the validity of the law is testified. 展开更多
关键词 missiles TARGETS GUIDES back propagation neural network differential game
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