Support vector machine based training of multilayer feedforward neural networks as optimized by particle swarm algorithm: Application in QSAR studies of bioactivity of organic compounds

Qsar Studies ◽

Software fault prediction using particle swarm algorithm with genetic algorithm and support vector machine classifier

Software Practice and Experience ◽

10.1002/spe.2784 ◽

2020 ◽

Vol 50 (4) ◽

pp. 407-427 ◽

Cited By ~ 1

Author(s):

Hiba Alsghaier ◽

Mohammed Akour

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Support Vector Machine Classifier ◽

Particle Swarm ◽

Fault Prediction ◽

Support Vector ◽

Software Fault Prediction ◽

Software Fault ◽

Optimization Design of Cutting Parameters Based on the Support Vector Machine and Particle Swarm Algorithm

OALib ◽

10.4236/oalib.1106788 ◽

2020 ◽

Vol 07 (09) ◽

pp. 1-8

Author(s):

Chengwen Yang ◽

Hao Jiang ◽

Baolin Liu

Keyword(s):

Support Vector Machine ◽

Optimization Design ◽

Particle Swarm ◽

Cutting Parameters ◽

Support Vector ◽

Hybridized particle swarm algorithm for adaptive structure training of multilayer feed-forward neural network: QSAR studies of bioactivity of organic compounds

Journal of Computational Chemistry ◽

10.1002/jcc.20094 ◽

2004 ◽

Vol 25 (14) ◽

pp. 1726-1735 ◽

Cited By ~ 27

Author(s):

Qi Shen ◽

Jian-Hui Jiang ◽

Chen-Xu Jiao ◽

Wei-Qi Lin ◽

Guo-Li Shen ◽

...

Keyword(s):

Neural Network ◽

Organic Compounds ◽

Particle Swarm ◽

Feed Forward Neural Network ◽

Feed Forward ◽

Qsar Studies ◽

Adaptive Structure ◽

A Hybrid Model Based on Back-Propagation Neural Network and Optimized Support Vector Machine with Particle Swarm Algorithm for Assessing Blade Icing on Wind Turbines

Energy Engineering ◽

10.32604/ee.2021.015542 ◽

2021 ◽

Vol 118 (6) ◽

pp. 1869-1886

Author(s):

Xiyang Li ◽

Bin Cheng ◽

Hui Zhang ◽

Xianghan Zhang ◽

Zhi Yun

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Hybrid Model ◽

Wind Turbines ◽

Back Propagation ◽

Particle Swarm ◽

Back Propagation Neural Network ◽

Support Vector ◽

A New Robust Optimization Method Based on Support Vector Machine and Particle Swarm Algorithm

International Journal of Simulation Systems Science & Technology ◽

10.5013/ijssst.a.17.37.40 ◽

2016 ◽

Author(s):

Guest Editor Jianping Du

Keyword(s):

Support Vector Machine ◽

Robust Optimization ◽

Particle Swarm ◽

Optimization Method ◽

Support Vector ◽

Identifying drunk driving behavior through a support vector machine model based on particle swarm algorithm

Advances in Mechanical Engineering ◽

10.1177/1687814017704154 ◽

2017 ◽

Vol 9 (6) ◽

pp. 168781401770415

Author(s):

Min Li ◽

Wuhong Wang ◽

Prakash Ranjitkar ◽

Tao Chen

Keyword(s):

Support Vector Machine ◽

Support Vector Machine Model ◽

Particle Swarm ◽

Drunk Driving ◽

Driving Behavior ◽

Support Vector ◽

Machine Model ◽

Model Based ◽

Study on PID Control of Aquatic Product Dryer based on Support Vector Machine Optimized by Improved Particle Swarm Algorithm

10.1109/icaml51583.2020.00080 ◽

2020 ◽

Author(s):

Wei Yue

Keyword(s):

Support Vector Machine ◽

Pid Control ◽

Particle Swarm ◽

Support Vector ◽

Aquatic Product ◽

2010 International Conference on Intelligent System Design and Engineering Application ◽

Indoor Thermal Comfort PMV Index Prediction Based on Particle Swarm Algorithm and Least Square Support Vector Machine

10.1109/isdea.2010.322 ◽

2010 ◽

Cited By ~ 4

Author(s):

Sun Bin ◽

Han Ke

Keyword(s):

Support Vector Machine ◽

Thermal Comfort ◽

Particle Swarm ◽

Least Square ◽

Support Vector ◽

Indoor Thermal Comfort ◽

DIAGNOSIS AND PREDICTION OF TRANSFORMER FAULTS OF SUPPORT VECTOR MACHINE OPTIMIZED BY PARTICLE SWARM ALGORITHM

International Journal of Mechatronics and Applied Mechanics ◽

10.17683/ijomam/issue4.7 ◽

2018 ◽

Vol 1 (4) ◽

Keyword(s):

Support Vector Machine ◽

Particle Swarm ◽

Support Vector ◽

Intrusion Detection of Catfish Particle Swarm Algorithm��S Optimization on Least Squares Support Vector Machine

Journal of Convergence Information Technology ◽

10.4156/jcit.vol8.issue7.21 ◽

2013 ◽

Vol 8 (7) ◽

pp. 160-167

Author(s):

Liu Chun

Keyword(s):

Support Vector Machine ◽

Intrusion Detection ◽

Least Squares ◽

Particle Swarm ◽

Support Vector ◽