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Three-layer artificial neural network with BP algorithm and bond parameters as inputs has been used to investigate the regularities of ternary phase diagrams of molten salt system .The results indicate that not only the formability and properties of intermedicate compounds,but also the type of phase diagramsand and the temperatures of eutectic points can be estimated by the trained ANN. 相似文献
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模式识别辅助镧镍电极的设计 总被引:2,自引:0,他引:2
应用模式识别和人工神经网络方法将已知样本按目标(稀土系镍氢电池容量和循环寿命)分类识别建模,在此基础地若干样本,通过人工神经网络预报,电池容量和循环寿命都达到设计要求。 相似文献
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运用化学键参数及模式识别或人工神经网络相结合,研究若干熔盐相图中三元化合物的形成规律和形成判据。 相似文献
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金属卤化物熔盐系相图的规律及计算机预报 总被引:1,自引:0,他引:1
Rules of molten salt phase diagrams of binary system MeX-Me’X4 (Me is monovalent metal, Me’ quadrivalent metal, X halides) were investigated using chemical bond parameter and pattern recognition-artificial neural networks method. Formability of intermediate compounds, chemical stiochiometry, melting type (congruent or incongruent) of intermediate compounds Me2Me’X6 and MeMe’X5 were summarized and predicted, the results were of good reliability. 相似文献
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