Genetic algorithms are proposed to automatically configure RBF neural networks.The network configuration is formed as a subset selection problem.Using new genetic operators,the genetic algorithms are improved in convergence and applicatility.The configuration and optimal principle of genetic algorithms are introduced.The method of generating the RBF networks is given.Finally,the simulated result on practical data is used to demonstrate the performance of the new algorithms.