Chaos theory is adopted to reveal the chaotic dynamics performance of reheated steam temperature in fossil fired power station, a new predictive model of neural network for reheated steam temperature is established based on the chaos theory. In the model, chaotic performance is used to deal with input samples and determine structure of neural network, the mapping with neural network is used to describe non-linearity of point evolution of chaotic phase space, and parameter identification is done by improved genetic algorithm. Simulation results show that the model features higher precision and ...
