How can genetic algorithms be used to improve neural networks?
A. Genetic algorithms can be combined with neural networks to enhance their performance by taking some of the guesswork out of optimally choosing neural network parameters, inputs etc. In general, genetic algorithms can be used in conjunction with neural networks in the following four ways. They can be used to choose the best inputs to the neural network, optimize the neural network parameters (such as the learning rates, number of hidden layer processing elements, etc.), train the actual network weights (rather than using backpropagation), or to choose/modify the neural network architecture. In each of these cases, the neural network error is the fitness used to rank the potential solutions.
