A genetic algorithm based neural-tuned neural network

This paper presents a neural-tuned neural network, which is trained by genetic algorithm (GA). The neural-tuned neural network consists of a neural network and a modified neural network. In the modified neural network, a neuron model with two activation functions is introduced. Some parameters of these activation functions is tuned by neural network. The proposed network structure can increase the search space of the network and gives better performance than traditional feedforward neural networks. Some application examples are given to illustrate the merits of the proposed network.