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静电纺丝法制备不同形貌的金属氧化物催化材料及催化性能研究 静电纺丝法制备不同形貌的金属氧化物催化材料及催化性能研究
Pub Date : 2020-01-01 DOI: 10.27206/d.cnki.ggsgu.2020.000561
杜雪碧
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引用次数: 0
基于大蒜多糖为原料的蒜酒发酵及其条件优化 基于大蒜多糖为原料的蒜酒发酵及其条件优化
Pub Date : 2019-01-01 DOI: 10.27206/d.cnki.ggsgu.2019.000234
邱梁堃
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引用次数: 0
Optimized BP neural network model based on niche genetic algorithm 基于小生境遗传算法优化BP神经网络模型
Pub Date : 2013-01-01 DOI: 10.1007/978-3-642-35419-9_26
Haodong Zhu, Hongchan Li
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引用次数: 1
Blind multi-user detection based on lagrange optimization neural network 基于拉格朗日优化神经网络的盲多用户检测
Pub Date : 2007-01-01 DOI: 10.1049/CP:20070105
Wang Hong-bin, Zhang Li-yi, Wang Hua-kui, Li Fu-ping
A kind of Lagrange principle of optimizing neural network is sketched in the paper, it has overcome the traditional defect based on that the neural network which punish function thought exists deal with inequality restraint directly reduce network size and complexity a kind of new optimization neural network Based on the Lagrange neural network, proposed a kind of blind multi-user detection algorithm, and indicated through the computer simulation, this algorithm has the improvement in the error rate performance aspect, the convergence rate also obviously enhances.
本文概述了一种拉格朗日优化神经网络原理,它克服了传统神经网络存在惩罚函数思想的缺陷,直接处理不等式约束,减小网络规模和复杂度,提出了一种基于拉格朗日神经网络的新型优化神经网络,并通过计算机仿真表明,该算法在错误率性能方面有了改进,收敛速度也明显提高。
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引用次数: 1
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兰州理工大学学报
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