【摘要】 在增量算法的基础上，利用截断（Ｃｌｉｐｐｉｎｇ）方法和蒙塔卡罗（ＭｏｎｔｅＣａｒｌｏ）算法，对以四类飞行目标平面旋转投影作为学习样本的级联神经网络互连权重进行了二值优化处理，并用非学习样本进行了容错性检验，计算机模拟得到了满意的结果更多还原

【Abstract】 In this paper, based on the increment algorithm, the clipping learning method and Monto Carlo algorithm were used in optimization of a cascaded neural network. As a result, binary interconnection weights were obtained. The error tolerance of the neural network was tested by non learning sets. Computer simulation indicated that the results were satisfactory.更多还原