A Cooperative Learning Algorithm for Multiclass Classification

In this paper, we propose a cooperative learning algorithm for Multi-category classification which is decomposed into two sub-optimization problems by using the support vector machine technique. The proposed cooperative learning algorithm consists of two single learning algorithms and each sub-optimization problem is solved by one of them. Unlike the cooperative neural network, the proposed cooperative learning algorithm is discrete time, instead of continuous time. Therefore, the proposed cooperative learning algorithm has a faster convergence speed than the cooperative neural network for Multi-category classification learning. Simulation results show the computational performance of the proposed cooperative learning algorithm for multiclass classification learning.