Title:
ForecastingpopIllafionbasedOnsupportvectorintellig
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- 2012-11-26
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Description: To build an effective SVR model，SVR’8 parameters must be set carefully．This study proposes a novel approach，
known ag IGASVR。which searches for SVR’s optimal parameters using intelligent genetic algorithms，and then adopts the optimal
parameters to construct the SVR models．Finally we apply IGASVR tO forecast population．The experimental results demonstrates
that IGASVR are better than standard SVR and BP neural-network．IGASVR model is an effective approach which has faster
speed of training and higher precision．
- [svr] - SVR (support vector regression), namely
- [f1] - Multi-objective optimization problem, in
- [HMT-Hidden-Markov-Contourlet[1]] - This a Matlab realization of Hidden Mark
- [e] - Some examples of SVR for beginners, very
- [ocksvm] - Hypersphere support vector machines usin
- [pso_wavelet] - Wavelet neural network model, using part
- [svm] - Based on genetic algorithm parameter sel
- [svr] - 79419096svr one-dimensional support vect
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e6能遗传算法与支持向量回归的人口预测.pdf
