1. A system for genetically adaptive signal classification comprising: a learning supervisor for processing a population of weight vectors in a neural network using training data; a fitness evaluator coupled to the learning supervisor for evaluating a fitness of the weight vectors against a stopping criterion based on the output of the weight vector processing by the learning supervisor; and a genetic operator, coupled to the fitness evaluator and the learning supervisor, for modifying the population of weight vectors and providing the modified weight vectors to the learning supervisor until the fitness evaluator indicates that the fitness of the weight vectors meets the stopping criterion.