Quantitative structure-toxicity relationships (QSTRs): A comparative study of various non linear methods. General regression neural network, radial basis function neural network and support vector machine in predicting toxicity of nitro- and cyano- aromatics toTetrahymena pyriformis§

Support Vector ◽

Quantitative Structure ◽

Non Linear ◽

General Regression

Distance relaying for transmission line using support vector machine and radial basis function neural network

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2007.01.007 ◽

2007 ◽

Vol 29 (7) ◽

pp. 551-556 ◽

Cited By ~ 30

Author(s):

S.R. Samantaray ◽

P.K. Dash ◽

G. Panda

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Transmission Line ◽

Radial Basis Function ◽

Basis Function ◽

Support Vector ◽

Radial Basis ◽

Distance Relaying

Simulation and uncertainty analysis for groundwater levels using radial basis function neural network and support vector machine models

Journal of Water Supply Research and Technology—AQUA ◽

10.2166/aqua.2016.069 ◽

2016 ◽

Vol 66 (1) ◽

pp. 15-24 ◽

Cited By ~ 3

Author(s):

Siyu Nie ◽

Jianmin Bian ◽

Hanli Wan ◽

Xiaoqing Sun ◽

Bingjing Zhang

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Uncertainty Analysis ◽

Radial Basis Function ◽

Basis Function ◽

Support Vector ◽

Groundwater Levels ◽

Enhanced Super-Resolution Mapping of Urban Floods Based on the Fusion of Support Vector Machine and General Regression Neural Network

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2019.2894350 ◽

2019 ◽

Vol 16 (8) ◽

pp. 1269-1273 ◽

Cited By ~ 3

Author(s):

Linyi Li ◽

Yun Chen ◽

Tingbao Xu ◽

Kaifang Shi ◽

Chang Huang ◽

...

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Super Resolution ◽

Support Vector ◽

Urban Floods ◽

Resolution Mapping ◽

Super Resolution Mapping ◽

General Regression

Forecasting model of residential load based on general regression neural network and PSO-Bayes least squares support vector machine

Journal of Central South University of Technology ◽

10.1007/s11771-011-0821-4 ◽

2011 ◽

Vol 18 (4) ◽

pp. 1184-1192 ◽

Cited By ~ 7

Author(s):

Yong-xiu He ◽

Hai-ying He ◽

Yue-jin Wang ◽

Tao Luo

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Least Squares ◽

Support Vector ◽

Forecasting Model ◽

General Regression

QSAR study of some CCR5 antagonists as anti-HIV agents using radial basis function neural network and general regression neural network on the basis of principal components

Medicinal Chemistry Research ◽

10.1007/s00044-011-9863-2 ◽

2011 ◽

Vol 21 (10) ◽

pp. 3246-3262 ◽

Cited By ~ 16

Author(s):

Mohsen Shahlaei ◽

Armin Madadkar-Sobhani ◽

Afshin Fassihi ◽

Lotfollah Saghaie ◽

Elham Arkan

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Principal Components ◽

Basis Function ◽

Qsar Study ◽

Ccr5 Antagonists ◽

General Regression ◽

Anti Hiv Agents ◽

Anti Hiv

Combining support vector machine with radial basis function kernel and information gain for sentiment analysis of movie reviews

Journal of Physics Conference Series ◽

10.1088/1742-6596/1918/4/042157 ◽

2021 ◽

Vol 1918 (4) ◽

pp. 042157

Author(s):

Z Abidin ◽

W Destian ◽

R Umer

Keyword(s):

Support Vector Machine ◽

Radial Basis Function ◽

Sentiment Analysis ◽

Basis Function ◽

Information Gain ◽

Support Vector ◽

Radial Basis Function Kernel ◽

Binary glioma grading framework employing locality preserving projections and Gaussian radial basis function support vector machine

International Journal of Imaging Systems and Technology ◽

10.1002/ima.22615 ◽

2021 ◽

Author(s):

Rahul Singh ◽

Aditya Goel ◽

Deepak Kumar Raghuvanshi

Keyword(s):

Support Vector Machine ◽

Radial Basis Function ◽

Basis Function ◽

Support Vector ◽

Locality Preserving Projections ◽

Locality Preserving ◽

Glioma Grading ◽

Sequential Radial Basis Function Optimization Strategy Using Support Vector Machine for Flight Vehicle Multidisciplinary Design Optimization

56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference ◽

10.2514/6.2015-0898 ◽

2015 ◽

Author(s):

Renhe Shi ◽

Li Liu ◽

Teng Long ◽

Xiaosong Guo ◽

Lei Peng

Keyword(s):

Support Vector Machine ◽

Radial Basis Function ◽

Design Optimization ◽

Basis Function ◽

Multidisciplinary Design Optimization ◽

Function Optimization ◽

Multidisciplinary Design ◽

Support Vector ◽

Flight Vehicle ◽

Optimization Strategy

A convolutional neural network ‐based comparative study for pepper seed classification: Analysis of selected deep features with support vector machine

Journal of Food Process Engineering ◽

10.1111/jfpe.13955 ◽

2021 ◽

Author(s):

Kadir Sabanci ◽

Muhammet Fatih Aslan ◽

Ewa Ropelewska ◽

Muhammed Fahri Unlersen

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Comparative Study ◽

Convolutional Neural Network ◽

Support Vector ◽

Classification Analysis ◽

Pepper Seed

Random Radial Basis Function Kernel-based Support Vector Machine

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2021.10.005 ◽

2021 ◽

Author(s):

Xiaojian Ding ◽

Jian Liu ◽

Fan Yang ◽

Jie Cao

Keyword(s):

Support Vector Machine ◽

Radial Basis Function ◽

Basis Function ◽

Support Vector ◽

Radial Basis Function Kernel ◽