Accuracy Optimization of Synchronization Parameters in Chaotic Time Series Prediction
Accuracy Optimization of Synchronization Parameters in Chaotic Time Series Prediction is a scholarly work, published in 2015 in ''Journal of Engineering Science and Technology Review''. The main subjects of the publication include fitness function, convergence, Chaotic, computer science, artificial neural network, Premature convergence, control system, mathematical optimization, population, Meta-optimization, series, operon, mathematics, genetic algorithm, synchronization, algorithm, and crossover (genetic algorithm). In view of the situation that current chaotic time series prediction model still exists the problem of low accuracy, this paper proposes a synchronous parameter optimization strategy of chaotic time series model based on improved genetic algorithm.