光学学报, 1998, 18 (12): 1663, 网络出版: 2006-10-18
一种用于多目标旋转不变分类识别的神经网络模型及算法
A Cascadded Model of Neural Networks and Its Learning Algorithm for Pattern Recognition with Rotation Invariance
摘要
提出了一种适于光学实现的神经网络模型和算法,通过对3种飞行器平面内旋转投影图的识别,证明了该方法具有对多目标转动不变的模式识别能力。
Abstract
A model of neural networks and its learning algorithm suitable for optical implementation are proposed. As an example, the model is applied to recognize the projective image of three kinds of aircraft. Computer simulations and optical experiment have shown that this model can be successfully used to error tolerance pattern recognition of multiple targets with arbitrary orientations.
常胜江, 申金媛, 刘玥, 宋庄, 翟宏琛, 张延炘. 一种用于多目标旋转不变分类识别的神经网络模型及算法[J]. 光学学报, 1998, 18(12): 1663. 常胜江, 申金媛, 刘玥, 宋庄, 翟宏琛, 张延炘. A Cascadded Model of Neural Networks and Its Learning Algorithm for Pattern Recognition with Rotation Invariance[J]. Acta Optica Sinica, 1998, 18(12): 1663.