Forecasting of Coal Demand in China Based on Support Vector Machine Optimized by the Improved Gravitational Search Algorithm
نویسندگان
چکیده
منابع مشابه
Fuzzy support vector machine based on hyperbolas optimized by the quantum-inspired gravitational search algorithm
Fuzzy support vector machines (FSVMs) are known for their excellent antinoise performance, but there is no general rule when the fuzzy membership function (FMF) is set up. A novel FSVM based on hyperbolas optimized by the quantum-inspired gravitational search algorithm (QGSH-FSVM) is proposed to handle this question. In the proposed QGSH-FSVM, the FMF is defined by two disparate hyperbolas, who...
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ژورنال
عنوان ژورنال: Energies
سال: 2019
ISSN: 1996-1073
DOI: 10.3390/en12122249