New learning algorithm for training multilayered neural networks that uses genetic-algorithm techniques

The Letter discusses a new method for training multilayered neural networks that uses genetic-algorithm techniques. Tests show that this method, called GenLearn, is significantly faster than methods that use the generalised delta rule. Gen-Learn also has the advantage that, unlike the generalised delta rule, it can escape local minima in its search of weight space.