In this paper,an approach is developed to optimize the quality of the training samples in the conventional Artificial Neural Network(ANN)by incorporating expert knowledge in the means of constructing expert-rule sampl...In this paper,an approach is developed to optimize the quality of the training samples in the conventional Artificial Neural Network(ANN)by incorporating expert knowledge in the means of constructing expert-rule samples from rules in an expert system,and through training by using these samples,an ANN based on expert-knowledge is further developed.The method is introduced into the field of quantitative identification of potential seismic sources on the basis of the rules in an expert system.Then it is applied to the quantitative identification of the potential seismic sources in Beijing and its adjacent area.The result indicates that the expert rule based on ANN method can well incorporate and represent the expert knowledge in the rules in an expert system,and the quality of the samples and the efficiency of training and the accuracy of the result are optimized.展开更多
将响应表面试验设计方法(RSM)应用于原子吸收光谱仪工作参数优化,以铜元素为目标化合物,结合Design-Expert软件进行数据处理.结果表明,单因素试验最佳工作条件:仪器灯电流15 m A,仪器吸喷速率7 m L/min,仪器乙炔气流量3.00 L/min.中心...将响应表面试验设计方法(RSM)应用于原子吸收光谱仪工作参数优化,以铜元素为目标化合物,结合Design-Expert软件进行数据处理.结果表明,单因素试验最佳工作条件:仪器灯电流15 m A,仪器吸喷速率7 m L/min,仪器乙炔气流量3.00 L/min.中心组合试验结果表明:当吸喷速率为7 m L/min、乙炔气流量为2.25 L/min、灯电流为10 m A时,仪器灵敏度最好.展开更多
文摘In this paper,an approach is developed to optimize the quality of the training samples in the conventional Artificial Neural Network(ANN)by incorporating expert knowledge in the means of constructing expert-rule samples from rules in an expert system,and through training by using these samples,an ANN based on expert-knowledge is further developed.The method is introduced into the field of quantitative identification of potential seismic sources on the basis of the rules in an expert system.Then it is applied to the quantitative identification of the potential seismic sources in Beijing and its adjacent area.The result indicates that the expert rule based on ANN method can well incorporate and represent the expert knowledge in the rules in an expert system,and the quality of the samples and the efficiency of training and the accuracy of the result are optimized.
文摘将响应表面试验设计方法(RSM)应用于原子吸收光谱仪工作参数优化,以铜元素为目标化合物,结合Design-Expert软件进行数据处理.结果表明,单因素试验最佳工作条件:仪器灯电流15 m A,仪器吸喷速率7 m L/min,仪器乙炔气流量3.00 L/min.中心组合试验结果表明:当吸喷速率为7 m L/min、乙炔气流量为2.25 L/min、灯电流为10 m A时,仪器灵敏度最好.
