The Training of Feed-Forward Neural Networks

The training of multilayer perceptron is generally a difficult task. Excessive training times and lack of convergence to an acceptable solution are frequently reported. This paper discribes new training methods of feedforward neural networks. In comparison with standard backpropagation algorithm it has smaller time complexity and better convergence. The testing of the proposed algorithm was carried out on a coding Information task. The results of experiments are discussed