Monthly Runoff Forecasting Model Based on Electrostatic DischargeAlgorithm-Mixed Kernel SVM and Its Application
In order to improve the accuracy of hydrological forecasting, this paper establishes a support vector machine (SVM) based on the mixture of polynomial kernel and Gauss kernel, optimizes the key parameters and the mixed weight coefficients of mixed kernel SVM by the electrostatic discharge algorithm...
Saved in:
Main Author: | LI Xiangrong |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Pearl River
2020-01-01
|
Series: | Renmin Zhujiang |
Subjects: | |
Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.01.005 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Monthly Runoff Prediction with RVM and SVM Optimized by Singular Spectrum Analysis and Gradient-Based Optimization Algorithm
by: LIANG Xiaoxin, et al.
Published: (2022-01-01) -
An efficient spectrum sensing of mixed kernel SVM based on sampling covariance matrix
by: Jianyuan NIE, et al.
Published: (2019-11-01) -
Research on Monthly Runoff Forecast in Dry Seasons Based on GEO-RVM Model
by: ZHANG Yajie, et al.
Published: (2022-01-01) -
Nonlinear conductive behavior of MoS2/PDMS composites for self-adaptive electrostatic protection
by: Hongfei Li, et al.
Published: (2025-02-01) -
Research on Monthly Runoff Forecast in Beijiang River Basin Based on Multi-model Ensemble Method
by: ZHONG Yixuan, et al.
Published: (2022-01-01)