neural network is one of the most widely used algorithms in the field of machine learning, on the other hand, neural network training is a complicated and important process. supervised learning needs to be organized to reach the goal as soon as possible. a supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.  hen...

Economic forecasting is a kind of conjecture and estimation future economic phenomena. Proceeding from the history reality development, this paper uses scientific methods to reveal development law various phenomena, point out relationship between their direction possible extent. Based on this, aims predict growth Province C proposes prediction tool for improving BP neural network based genetic ...

Blind source separation technique separates mixed signals blindly without any information on the mixing system. In this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. In these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. In order to evalu...