A Hybrid Approach for Software Fault Prediction Using Artificial Neural Network and Simplified Swarm Optimization

IJARCCE ◽

10.17148/ijarcce.2017.63140 ◽

2017 ◽

Vol 6 (3) ◽

pp. 601-605 ◽

Author(s):

Ankit Pahal ◽

Chillar R. S.

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Hybrid Approach ◽

Fault Prediction ◽

Swarm Optimization ◽

Software Fault Prediction ◽

Software Fault ◽

Artificial Neural

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Pre-training of an artificial neural network for software fault prediction

2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) ◽

10.1109/iccke.2017.8167880 ◽

2017 ◽

Author(s):

Moein Owhadi-Kareshk ◽

Yasser Sedaghat ◽

Mohammad-R. Akbarzadeh-T.

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fault Prediction ◽

Software Fault Prediction ◽

Software Fault ◽

Artificial Neural

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Optimal design of permanent magnet flux switching generator for wind applications via artificial neural network and multi-objective particle swarm optimization hybrid approach

Energy Conversion and Management ◽

10.1016/j.enconman.2015.11.062 ◽

2016 ◽

Vol 110 ◽

pp. 230-239 ◽

Author(s):

Santolo Meo ◽

Alireza Zohoori ◽

Abolfazl Vahedi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Particle Swarm Optimization ◽

Optimal Design ◽

Permanent Magnet ◽

Hybrid Approach ◽

Particle Swarm ◽

Swarm Optimization ◽

Multi Objective ◽

Artificial Neural

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Compact modeling of metal-oxide TFTs based on artificial neural network and improved particle swarm optimization

Journal of Computational Electronics ◽

10.1007/s10825-020-01641-z ◽

2021 ◽

Author(s):

Wanling Deng ◽

Wanqin Zhang ◽

You Peng ◽

Weijing Wu ◽

Junkai Huang ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Particle Swarm Optimization ◽

Metal Oxide ◽

Particle Swarm ◽

Compact Modeling ◽

Swarm Optimization ◽

Improved Particle Swarm Optimization ◽

Artificial Neural ◽

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Iterative software fault prediction with a hybrid approach

Applied Soft Computing ◽

10.1016/j.asoc.2016.08.025 ◽

2016 ◽

Vol 49 ◽

pp. 1020-1033 ◽

Author(s):

Ezgi Erturk ◽

Ebru Akcapinar Sezer

Keyword(s):

Hybrid Approach ◽

Fault Prediction ◽

Software Fault Prediction ◽

Software Fault ◽

Iterative Software

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Enhanced Velocity-Driven Particle Swarm Optimization for Evolving Artificial Neural Network

10.1145/3467707.3467743 ◽

2021 ◽

Author(s):

Wei Li ◽

Haonan Luo ◽

Zhou Lei ◽

Junqing Yuan ◽

Wangshun Dong ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Swarm Optimization ◽

Artificial Neural

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Particle Swarm Optimization Algorithm Based Artificial Neural Network for Botnet Detection

Wireless Personal Communications ◽

10.1007/s11277-021-08841-1 ◽

2021 ◽

Author(s):

P. Panimalar

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Botnet Detection ◽

Swarm Optimization ◽

Artificial Neural

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PREDICTION OF HEART DISEASE USING K-MEANS and ARTIFICIAL NEURAL NETWORK as HYBRID APPROACH to IMPROVE ACCURACY

International Journal of Engineering and Technology ◽

10.21817/ijet/2017/v9i4/170904101 ◽

2017 ◽

Vol 9 (4) ◽

pp. 3081-3085 ◽

Author(s):

Amita Malav ◽

Kalyani Kadam ◽

Pooja Kamat

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Heart Disease ◽

Hybrid Approach ◽

Improve Accuracy ◽

Artificial Neural

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Hazardous Source Estimation Using an Artificial Neural Network, Particle Swarm Optimization and a Simulated Annealing Algorithm

10.3390/atmos9040119 ◽

2018 ◽

Vol 9 (4) ◽

pp. 119 ◽

Author(s):

Rongxiao Wang ◽

Bin Chen ◽

Sihang Qiu ◽

Liang Ma ◽

Zhengqiu Zhu ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Particle Swarm Optimization ◽

Simulated Annealing ◽

Simulated Annealing Algorithm ◽

Particle Swarm ◽

Swarm Optimization ◽

Source Estimation ◽

Annealing Algorithm ◽

Artificial Neural

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Using particle swarm optimization algorithm in an artificial neural network to forecast the strength of paste filling material

Journal of China University of Mining and Technology ◽

10.1016/s1006-1266(08)60292-8 ◽

2008 ◽

Vol 18 (4) ◽

pp. 551-555 ◽

Author(s):

Qing-liang CHANG ◽

Hua-qiang ZHOU ◽

Chao-jiong HOU

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Filling Material ◽

Swarm Optimization ◽

Artificial Neural

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Optimization of Reactive Power and Voltage Control in Power System Using Hybrid Artificial Neural Network and Particle Swarm Optimization

2018 2nd International Conference on Applied Electromagnetic Technology (AEMT) ◽

10.1109/aemt.2018.8572408 ◽

2018 ◽

Author(s):

Sabhan Kanata ◽

Gibson H.M. Sianipar ◽

Nur Ulfa Maulidevi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Particle Swarm Optimization ◽

Power System ◽

Reactive Power ◽

Particle Swarm ◽

Voltage Control ◽

Swarm Optimization ◽

Artificial Neural ◽

Hybrid Artificial Neural Network

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