RBF Neural Networks Optimization Algorithm and Application on Tax Forecasting

اسناد مشابه

• Research on the Prediction Method of Stock Price Based on RBF Neural Network Optimization Algorithm

  مقاله‌ی دسترسی آزاد۲۰۲۱E3S web of conferences['Wanqing Li', 'Shaohang Huang', '']

  With the development of social economy, people pay more and attention to investment financial management. However, due strong volatility stock market, it is difficult accurately predict future trend risk very high. This paper proposes an optimization algorithm based on RBF neural

• Forecasting of chaotic time series using RBF neural networks optimized by genetic algorithms

  سند علمی۲۰۱۷Int. Arab J. Inf. Technol.Mohammed Awad

  Time series forecasting is an important tool, which is used to support the areas of planning for both individual and organizational decisions. This problem consists of forecasting future data based on past and/or present data. This paper deals with the problem of time series fore

• The State of Charge Estimation of Li-Ion Batteries in Electric Vehicle Based on RBF Neural Network Optimized by Genetic Algorithm

  سند علمی۲۰۱۳Jun Bi, Qiuping Xu, Kai Wang, Dong Zhang

  In order to guarantee security and stable operation of electric vehicle, it is necessary to on-line estimation for the state of charge (SOC) of batteries. The power battery is a complex nonlinear system, and Radial Basis Function Neural Network (RBF NN) has advantages in solving

• Combined Approach of Rbf Neural Networks, Genetic Algorithms and Local Search and Its Application to the Identification of a Non-linear Process

  سند علمی۲۰۱۱André Eugênio Lazzaretti, Fábio Alessandro Guerra, Hugo Vieira Neto, Leandro dos Santos

  The identification of non-linear systems by artificial neural networks has been successfully applied in many applications. In this context, the radial basis function neural network (RBF-NN) is a powerful approach for non-linear system identification. An RBF neural network has an

• Three Phase Fault Diagnosis Based on Rbf Neural Network Optimized by Pso Algorithm

  سند علمی۲۰۱۲M. Sivakumar, R. M. S. Parvathi

  The present paper proposes a fault diagnosis methodology of three phase inverter circuit base on radial basis function (RBF) artificial neural network trained by particle swarm optimization (PSO) algorithm. Using the appropriate stimulus signal, fault features are extracted from

• A Comparison of RBF Neural Network Training Algorithms for Inertial Sensor Based Terrain Classification

  سند علمی۲۰۰۹SensorsTuba Kurban, Erkan Besdok

  This paper introduces a comparison of training algorithms of radial basis function (RBF) neural networks for classification purposes. RBF networks provide effective solutions in many science and engineering fields. They are especially popular in the pattern classification and sig