训练多个单分类器进行分类;选用后向传播(Back Propagation, BP)神经网络作为分类预测模型;以伪氨基酸作为网络输入特征;选用Chou提出的蛋白质数据集;实验数据采用全...
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与单独使用后向传播神经网络算法相比分类效果也得到了改善。
Compared with neural network algorithm using back-propagating alone, it improves classification results.
在线性近似条件下，量子化了非线性薛定谔方程，用后向传播法数值求解了孤子源啁啾对量子光孤子的影响。
Based on the linearization approximation, nonlinear schrodinger equation is quantized, the influences of the soliton source chirp on quantum soliton is studied by using the back-propagation method.
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