Convergence of hybrid algorithm with adaptive learning parameter for multilayer neural network

A new learning algorithm suited for training multilayered neural networks that we have named hybrid is hereby introduced. With this algorithm the weights of the hidden layer are adjusted using the Kohonen algorithm. While the weights of the output layer are trained using a gradient descent method with adaptive learning parameter based Lyapunov function. The effectiveness of the proposed approach is shown by the simulation results.