字符拓扑结构 meaning in Chinese

character topology

In view of the feature of neural network and its advantages in pattern recognition , we have a great deal work in off - line handwritten character recognition based on neural network . we present two recognition methods based on neural network . one of which is the hybrid neural network recognition system , a multi - level neural network classifier constructed by using the multi neural networks integration technology
由于神经网络的特点及其在手写体字符识别领域体现出的潜力，本文对基于神经网络的手写体字符识别技术进行了大量的研究工作，提出了两种新颖的基于神经网络的手写体字符识别模型，其中，基于混合神经网络的手写体字符识别模型利用了在抗干扰和描述字符拓扑结构方面具有互补性的中心投影特征和llf特征，使用多神经网络集成技术构建了多级的神经网络分类器。