A Classification Method of Extreme Learning Machine Based on AdaBoost
Ji Wang · Journal of Zhengzhou University · 2014
Extreme learning machine was a new single hidden layer feedforward neural network. In the training process of the network,input layer and hidden layer deviation were given randomly. So the training speed was very fast. But because of it,the output of extreme learning machine was unstable. An AdaBoost-based extreme learning machine was presented. By changing the weights of input data,the performance of extreme learning machine could be improved. Experimental results showed that the proposed algorithm achieved better performance and acted more stably than similar methods.