BP neural networks is used to mid-term earthquake prediction in this paper. Some usual prediction parameters of seismology are used as the import units of neural networks. And the export units of neural networks is ca...BP neural networks is used to mid-term earthquake prediction in this paper. Some usual prediction parameters of seismology are used as the import units of neural networks. And the export units of neural networks is called as the character parameter W_0 describing enhancement of seismicity. We applied this method to space scanning of North China. The result shows that the mid-term anomalous zone of W_0-value usually appeared obviously around the future epicenter 1~3 years before earthquake. It is effective to mid-term prediction.展开更多
In order to identify continuous B-cell epitopes effectively and to increase the success rate of experimental identification, the modified Back Propagation artificial neural network (BP neural network) was used to pred...In order to identify continuous B-cell epitopes effectively and to increase the success rate of experimental identification, the modified Back Propagation artificial neural network (BP neural network) was used to predict the continuous B-cell epitopes, and finally the predictive model for the B-cells epitopes was established. Comparing with the other predictive models, the prediction performance of this model is more excellent (AUC = 0.723). For the purpose of verifying the performance of the model, the prediction to the SWISS PROT NUMBER: P08677 was carried on, and the satisfying results were obtained.展开更多
可听噪声属于输电线路电磁环境的影响因子之一,其常规预测模型均存在使用条件受约束或预测误差偏大的问题.根据间接预测法的思想,以可听噪声通用表达式中的4个因素为输入变量,可听噪声值为输出变量,建立了三层结构的BP神经网络交流输电...可听噪声属于输电线路电磁环境的影响因子之一,其常规预测模型均存在使用条件受约束或预测误差偏大的问题.根据间接预测法的思想,以可听噪声通用表达式中的4个因素为输入变量,可听噪声值为输出变量,建立了三层结构的BP神经网络交流输电线路可听噪声预测模型.以国外多条输电线路可听噪声数据为样本,通过BP神经网络对样本进行训练,运用得到的模型对预测集线路的可听噪声值进行了预测.结果表明,与常规GE公式相比,采用BP神经网络预测模型的预测平均绝对误差要小1.641 4 d B(A).展开更多
文摘BP neural networks is used to mid-term earthquake prediction in this paper. Some usual prediction parameters of seismology are used as the import units of neural networks. And the export units of neural networks is called as the character parameter W_0 describing enhancement of seismicity. We applied this method to space scanning of North China. The result shows that the mid-term anomalous zone of W_0-value usually appeared obviously around the future epicenter 1~3 years before earthquake. It is effective to mid-term prediction.
文摘In order to identify continuous B-cell epitopes effectively and to increase the success rate of experimental identification, the modified Back Propagation artificial neural network (BP neural network) was used to predict the continuous B-cell epitopes, and finally the predictive model for the B-cells epitopes was established. Comparing with the other predictive models, the prediction performance of this model is more excellent (AUC = 0.723). For the purpose of verifying the performance of the model, the prediction to the SWISS PROT NUMBER: P08677 was carried on, and the satisfying results were obtained.
文摘可听噪声属于输电线路电磁环境的影响因子之一,其常规预测模型均存在使用条件受约束或预测误差偏大的问题.根据间接预测法的思想,以可听噪声通用表达式中的4个因素为输入变量,可听噪声值为输出变量,建立了三层结构的BP神经网络交流输电线路可听噪声预测模型.以国外多条输电线路可听噪声数据为样本,通过BP神经网络对样本进行训练,运用得到的模型对预测集线路的可听噪声值进行了预测.结果表明,与常规GE公式相比,采用BP神经网络预测模型的预测平均绝对误差要小1.641 4 d B(A).
