Forecasting Chaotic Time Series with Wavelet Neural Network Improved by Particle Swarm Optimization
نویسندگان
چکیده
منابع مشابه
Forecasting Chaotic Time Series with Wavelet Neural Network Improved by Particle Swarm Optimization
The prediction of chaotic time series is an important research issue. To improve the prediction accuracy, a hybrid approach called WNN-PSO is proposed, which based on the self-learning ability of wavelet neural network, whose parameters are optimized by particle swarm optimization. The WNN-PSO method has higher prediction accuracy, fast convergence, and heightens the ability of jumping the loca...
متن کاملTime Variant Fuzzy Time Series Approach for Forecasting Using Particle Swarm Optimization
Fuzzy time series have been developed during the last decade to improve the forecast accuracy. Many algorithms have been applied in this approach of forecasting such as high order time invariant fuzzy time series. In this paper, we present a hybrid algorithm to deal with the forecasting problem based on time variant fuzzy time series and particle swarm optimization algorithm, as a highly effi...
متن کاملHybridization of Artificial Neural Network and Particle Swarm Optimization Methods for Time Series Forecasting
Recently, Particle Swarm Optimization (PSO) has evolved as a promising alternative to the standard backpropagation (BP) algorithm for training Artificial Neural Networks (ANNs). PSO is advantageous due to its high search power, fast convergence rate and capability of providing global optimal solution. In this paper, the authors explore the improvements in forecasting accuracies of feedforward a...
متن کاملTelephone Traffic Forecasting Based on Grey Neural Network Optimized by Improved Particle Swarm Optimization Algorithm
To solve the problem that the parameters in grey neural network (GNN) are difficult to determine, the improved Particle Swarm Optimization (IPSO) algorithm is employed to search the optimums by the introduction of a threshold of velocity. When the particle velocity is less than the threshold, an accelerated momentum is applied on the particle to reinitialize the particle velocity and position. ...
متن کاملA Teaching Quality Evaluation Model Based on a Wavelet Neural Network Improved by Particle Swarm Optimization
In order to improve the teaching quality of higher education, the paper constructed a teaching quality evaluation index system with five first level indicators and twenty two second level indicators according to the teaching level evaluation index system of ordinary higher education. For the complex nonlinear relationships between the evaluation indices, a mathematical model for evaluating the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Hybrid Information Technology
سال: 2013
ISSN: 1738-9968,1738-9968
DOI: 10.14257/ijhit.2013.6.6.33