Parameters Optimization Using Genetic Algorithms in Support Vector Regression for Sales Volume Forecasting

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Applied Mathematics

ISSN Print: 2152-7385
ISSN Online: 2152-7393
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E-mail: am@scirp.org

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"Parameters Optimization Using Genetic Algorithms in Support Vector Regression for Sales Volume Forecasting"
written by Fong-Ching Yuan,
published by Applied Mathematics, Vol.3 No.10A, 2012

has been cited by the following article(s):

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[10]	Research Article Investigation of an Efficient RF-MEMS Switch for Reconfigurable Antenna Using Hybrid Algorithm with Artificial Neural Network
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[15]	Comparative Analysis of Forecasting Techniques using Automobile Sales Data in Pakistan
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[16]	European Exchange Trading Funds Trading with Locally Weighted Support Vector Regression
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[17]	A multi-objective genetic algorithm for simultaneous model and feature selection for support vector machines
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[18]	Reverse Adaptive Krill Herd Locally Weighted Support Vector Regression for forecasting and trading Exchange Traded Funds
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[19]	Deep Learning-Based Corporate Performance Prediction Model Considering Technical Capability
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[20]	Implementasi Algoritme Support Vector Regression Pada Prediksi Jumlah Pengunjung Pariwisata
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[21]	Peramalan Harga Saham Menggunakan Suppor Vector Regression Dengan Algoritme Genetika
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[23]	Prediksi Jumlah Kunjungan Wisatawan Mancanegara Ke Bali Menggunakan Support Vector Regression dengan Algoritma Genetika
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[28]	River Stage Forecasting Using Wavelet Packet Decomposition and Machine Learning Models
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[30]	Stock market prediction using evolutionary support vector machines: an application to the ASE20 index
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[31]	Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms—Support vector regression forecast combinations
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[32]	River stage forecasting models using support vector regression and optimization algorithms
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[33]	A Novel Forecasting Model Based on Support Vector Regression and Bat Meta-Heuristic (Bat–SVR): Case Study in Printed Circuit Board Industry
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[34]	基于复杂度指数的 GA-SVR 及其在气体水合物中的应用
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[2]	Short-Term Demand Forecast of E-Commerce Platform Based on ConvLSTM Network Computational Intelligence and Neuroscience, 2022 DOI:10.1155/2022/5227829

[3]	MFO Tunned SVR Models for Analyzing Dimensional Characteristics of Cracks Developed on Steam Generator Tubes Applied Sciences, 2022 DOI:10.3390/app122312375

[4]	Data Science for Financial Econometrics Studies in Computational Intelligence, 2021 DOI:10.1007/978-3-030-48853-6_41

[5]	A Two-Round Weight Voting Strategy-Based Ensemble Learning Method for Sea Ice Classification of Sentinel-1 Imagery Remote Sensing, 2021 DOI:10.3390/rs13193945

[6]	Machine Learning Paradigms Learning and Analytics in Intelligent Systems, 2020 DOI:10.1007/978-3-030-49724-8_11

[7]	Intelligent forecasting of inbound tourist arrivals by social networking analysis Physica A: Statistical Mechanics and its Applications, 2020 DOI:10.1016/j.physa.2020.124944

[8]	Long Short-Term Memory Model Based Agriculture Commodity Price Prediction Application Proceedings of the 2020 2nd International Conference on Information Technology and Computer Communications, 2020 DOI:10.1145/3417473.3417481

[9]	Long Short-Term Memory Model Based Agriculture Commodity Price Prediction Application Proceedings of the 2020 2nd International Conference on Information Technology and Computer Communications, 2020 DOI:10.1145/3417473.3417481

[10]	Long Short-Term Memory Model Based Agriculture Commodity Price Prediction Application Proceedings of the 2020 2nd International Conference on Information Technology and Computer Communications, 2020 DOI:10.1145/3417473.3417481

[11]	Intelligent sales volume forecasting using Google search engine data Soft Computing, 2019 DOI:10.1007/s00500-019-04036-w

[12]	Forecasting government bond spreads with heuristic models: evidence from the Eurozone periphery Annals of Operations Research, 2018 DOI:10.1007/s10479-018-2808-0

[13]	Investigation of an Efficient RF-MEMS Switch for Reconfigurable Antenna Using Hybrid Algorithm with Artificial Neural Network Journal of Artificial Intelligence, 2018 DOI:10.3923/jai.2018.79.84

[14]	European Exchange Trading Funds Trading with Locally Weighted Support Vector Regression European Journal of Operational Research, 2017 DOI:10.1016/j.ejor.2016.09.005

[15]	A multi-objective genetic algorithm for simultaneous model and feature selection for support vector machines Artificial Intelligence Review, 2017 DOI:10.1007/s10462-017-9543-9

[16]	Deep Learning-Based Corporate Performance Prediction Model Considering Technical Capability Sustainability, 2017 DOI:10.3390/su9060899

[17]	Reverse adaptive krill herd locally weighted support vector regression for forecasting and trading exchange traded funds European Journal of Operational Research, 2017 DOI:10.1016/j.ejor.2017.06.019

[18]	Stock market prediction using evolutionary support vector machines: an application to the ASE20 index The European Journal of Finance, 2016 DOI:10.1080/1351847X.2015.1040167

[19]	River Stage Forecasting Using Wavelet Packet Decomposition and Machine Learning Models Water Resources Management, 2016 DOI:10.1007/s11269-016-1409-4

[20]	Modelling and trading the U.S. implied volatility indices. Evidence from the VIX, VXN and VXD indices International Journal of Forecasting, 2016 DOI:10.1016/j.ijforecast.2016.05.004

[21]	Hybrid Corporate Performance Prediction Model Considering Technical Capability Sustainability, 2016 DOI:10.3390/su8070640

[22]	Harmony Search Algorithm Advances in Intelligent Systems and Computing, 2016 DOI:10.1007/978-3-662-47926-1_25

[23]	A Novel Forecasting Model Based on Support Vector Regression and Bat Meta-Heuristic (Bat–SVR): Case Study in Printed Circuit Board Industry International Journal of Information Technology & Decision Making, 2015 DOI:10.1142/S0219622014500849

[24]	Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms—Support vector regression forecast combinations European Journal of Operational Research, 2015 DOI:10.1016/j.ejor.2015.06.052

[25]	An EPC Forecasting Method for Stock Index Based on Integrating Empirical Mode Decomposition, SVM and Cuckoo Search Algorithm Journal of Systems Science and Information, 2014 DOI:10.1515/JSSI-2014-0481

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