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

다중 신경망의 계층 결합에 의한 필기체 숫자 인식에 관한 연구

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.