An improved target tracking information differentiating system using the neural network to substitute for fuzzy rules is presented for the infrared-radar dual-mode guidance system. Since the neural network training ba...An improved target tracking information differentiating system using the neural network to substitute for fuzzy rules is presented for the infrared-radar dual-mode guidance system. Since the neural network training based on the expert knowledge database is conducted off-line, the benefits for developing real-time tracking capabilities can be obtained. The network outputs the confidence degree denoted by the weight value of target information in the data fusion center according to two input variables of the measurement noise covariance and the tracking filter covariance. Simulation results show that the improved system can differentiate the target tracking information from the seeker fast and accurately.展开更多
Objective:To establish a scientific,objective and applicable index system for evaluating out- standing biomedical scientists for science foundation of Shanghai.Methods:According to the principal in- dices that have be...Objective:To establish a scientific,objective and applicable index system for evaluating out- standing biomedical scientists for science foundation of Shanghai.Methods:According to the principal in- dices that have been used in the developed countries for evaluating their talented personnel and the reality of our country,an index system was set up to evaluate the outstanding biomedical scientists for Shanghai science foundation.The following parameters were used to simplify the indices.,correlation coefficient, multiple correlation coefficient,partial correlation coefficient,creditability,and discriminatory power. And analytic hierarchy process was used to determine the weights of each index.Results and Conclusions: The established index system is scientific and applicable;it is helpful for cultivating and evaluating out- standing biomedical scientists.展开更多
文摘An improved target tracking information differentiating system using the neural network to substitute for fuzzy rules is presented for the infrared-radar dual-mode guidance system. Since the neural network training based on the expert knowledge database is conducted off-line, the benefits for developing real-time tracking capabilities can be obtained. The network outputs the confidence degree denoted by the weight value of target information in the data fusion center according to two input variables of the measurement noise covariance and the tracking filter covariance. Simulation results show that the improved system can differentiate the target tracking information from the seeker fast and accurately.
文摘Objective:To establish a scientific,objective and applicable index system for evaluating out- standing biomedical scientists for science foundation of Shanghai.Methods:According to the principal in- dices that have been used in the developed countries for evaluating their talented personnel and the reality of our country,an index system was set up to evaluate the outstanding biomedical scientists for Shanghai science foundation.The following parameters were used to simplify the indices.,correlation coefficient, multiple correlation coefficient,partial correlation coefficient,creditability,and discriminatory power. And analytic hierarchy process was used to determine the weights of each index.Results and Conclusions: The established index system is scientific and applicable;it is helpful for cultivating and evaluating out- standing biomedical scientists.
