Sports Economic Activities Income Forecasting based on Genetic Support Vector Regression Algorithm
نویسندگان
چکیده
منابع مشابه
Support Vector Regression in Forecasting
Support Vector Regression (SVR), a category for Support Vector Machine (SVM) attempts to minimize the generalization error bound so as to achieve generalized performance. Regression is that of finding a function which approximates mapping from an input domain to the real numbers on the basis of a training sample. Support vector regression is the natural extension of large margin kernel methods ...
متن کاملMonthly rainfall Forecasting using genetic programming and support vector machine
Rainfall and runoff estimation play a fundamental and effective role in the management and proper operation of the watershed, dams and reservoirs management, minimizing the damage caused by floods and droughts, and water resources management. The optimal performance of intelligent models has increased their use to predict various hydrological phenomena. Therefore, in this study, two intelligent...
متن کاملTax Forecasting Based on Linear Discriminant Analysis-wavelet Support Vector Regression Algorithm
Abstract The accurate prediction for future tax values is the key to make the reasonable tax collection policy. In order to improve the prediction accuracy of wavelet support vector regression, linear discriminant analysis-wavelet support vector regression algorithm is proposed to predict future tax values in the paper. In the linear discriminant analysis-wavelet support vector regression algor...
متن کاملApplications of the Chaotic Quantum Genetic Algorithm with Support Vector Regression in Load Forecasting
Accurate electricity forecasting is still the critical issue in many energy management fields. The applications of hybrid novel algorithms with support vector regression (SVR) models to overcome the premature convergence problem and improve forecasting accuracy levels also deserve to be widely explored. This paper applies chaotic function and quantum computing concepts to address the embedded d...
متن کاملSupport vector regression for warranty claim forecasting
Forecasting the number of warranty claims is vitally important for manufacturers/warranty providers in preparing fiscal plans. In existing literature, a number of techniques such as log-linear Poisson models, Kalman filter, time series models, and artificial neural network models have been developed. Nevertheless, one might find two weaknesses existing in these approaches: (1) they do not consi...
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: The Open Cybernetics & Systemics Journal
سال: 2015
ISSN: 1874-110X
DOI: 10.2174/1874110x01509012842