다중 신경망의 계층 결합에 의한 필기체 숫자 인식에 관한 연구

A Study on Handwritten Digit Recognition by Layer Combination of Multiple Neural Network

In this paper, we present a solution for combining multiple neural networks. Each neural network is trained with different features. And the neural networks are combined by four methods. The recognition rates by four combination methods are compared. The experimental results for handwritten digit recognition shows that the combination at hidden layers by single layer neural network is superior to any other methods. The reasons of the results are explained.