| 神经网络方法在ABO3型稀土复氧化物电阻率特性研究中的应用 |
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| 引用本文： | 蔡煜东,刘洪霖.神经网络方法在ABO3型稀土复氧化物电阻率特性研究中的应用[J].计算机与应用化学,1993,10(1):49-53. |
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| 作者姓名： | 蔡煜东 刘洪霖 |
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| 作者单位： | 中国科学院上海冶金研究所，中国科学院上海冶金研究所，中国科学院上海冶金研究所，中国科学院上海冶金研究所，中国科学院上海冶金研究所 上海 200050，上海 200050，上海 200050，上海 200050，上海 200050 |
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| 摘 要： | 研究了神经网络的一典型模型—反向传播(B-P)模型在稀土复氧化物电阻率特性分类中的应用,验证了该方法的可靠性,并与主成分法进行了比较。实验结果与理论分析表明,神经网络方法优于传统的模式识别方法。
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| 关 键 词： | 稀土复氧化物 电阻率 人工神经网络 |
PREDICTION OF THE RESISTANCE RATE OF R. E. COMPLEX OXIDES OF ABO_3 TYPE BY NEURAL NETWORK |
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| Cai Yudong Liu Honglin Gan Junren Yao Linshen Chen Nianyi.PREDICTION OF THE RESISTANCE RATE OF R. E. COMPLEX OXIDES OF ABO_3 TYPE BY NEURAL NETWORK[J].Computers and Applied Chemistry,1993,10(1):49-53. |
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| Authors: | Cai Yudong Liu Honglin Gan Junren Yao Linshen Chen Nianyi |
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| Abstract: | The prediction of the resistance rate of R.E. complex oxides of ABO_3 type by backpropagation model, which is one of the typical neural network was studied. The success rate reached 100%, which shows its reliability. Both the experimental results and theoretical analysis indicate that the neural network method is much bettel than PCA method in quality. |
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| Keywords: | R E complex oxides of ABO3 type Resistance rate Artificial neural network Pattern recognition |
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