【摘要】 讨论了数据融合与高阶神经网络的串行结合。根据Dempster Shafer证据理论的基本原理 ,利用多传感器多周期测量条件下命题不确定性度量的融合算法公式 ,进行命题的空间和时间融合 ,以达到空中目标的敌我识别。将融合后的最终结果输入到高阶BP神经网络中 ,通过目标向量样本的训练 ,输出相应的目标类型。仿真结果证明 ,这种方法是行之有效的。更多还原

【Abstract】 Discusses the serial combination of high order neural network and data fusion.In order to identify the air targets, based on the fundamental theory of dempster shafer evidence theory, space fusion and time fusion are carried out with proposition’s fusion algorithm formula under the conditions of multi sensors and multi periods. Then the final results into the high order BP network is input. Through the training of target vector table stylebook, corresponding type of goal can be output. By the result of simulation, it can be proved that this method is effective.更多还原