Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm
出版年份 2022 全文链接
标题
Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm
作者
关键词
Salp Swarm Algorithm, Simulated Annealing, Backpropagation Neural Network, Software defect estimation
出版物
KNOWLEDGE-BASED SYSTEMS
Volume 244, Issue -, Pages 108511
出版商
Elsevier BV
发表日期
2022-03-08
DOI
10.1016/j.knosys.2022.108511
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Optimization of thermodynamic performance with simulated annealing algorithm: A geothermal power plant
- (2021) Gürcan Çetin et al. RENEWABLE ENERGY
- Adaptive neighborhood simulated annealing for sustainability-oriented single machine scheduling with deterioration effect
- (2021) Mohamed Salama et al. APPLIED SOFT COMPUTING
- Salp swarm optimizer for modeling the software fault prediction problem
- (2021) Sofian Kassaymeh et al. Journal of King Saud University-Computer and Information Sciences
- Structural reliability assessment by salp swarm algorithm–based FORM
- (2020) Changting Zhong et al. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
- Improved Salp–Swarm Optimizer and Accurate Forecasting Model for Dynamic Economic Dispatch in Sustainable Power Systems
- (2020) Karar Mahmoud et al. Sustainability
- A Quantum-behaved Simulated Annealing Enhanced Moth-flame Optimization Method
- (2020) Caiyang Yu et al. APPLIED MATHEMATICAL MODELLING
- A dynamic locality multi-objective salp swarm algorithm for feature selection
- (2020) Ibrahim Aljarah et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Ensemble mutation-driven salp swarm algorithm with restart mechanism: Framework and fundamental analysis
- (2020) Hongliang Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Improved salp swarm algorithm based on weight factor and adaptive mutation
- (2019) Jun Wu et al. JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
- Multi-objective evolutionary simulated annealing optimisation for mixed-model multi-robotic disassembly line balancing with interval processing time
- (2019) Yilin Fang et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- An under‐sampled software defect prediction method based on hybrid multi‐objective cuckoo search
- (2019) Xingjuan Cai et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- Time-varying hierarchical chains of salps with random weight networks for feature selection
- (2019) Hossam Faris et al. EXPERT SYSTEMS WITH APPLICATIONS
- A novel selective naïve Bayes algorithm
- (2019) Shenglei Chen et al. KNOWLEDGE-BASED SYSTEMS
- Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
- (2019) Mohammad Tubishat et al. EXPERT SYSTEMS WITH APPLICATIONS
- Deep learning based software defect prediction
- (2019) Lei Qiao et al. NEUROCOMPUTING
- Software defect prediction techniques using metrics based on neural network classifier
- (2018) R. Jayanthi et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- A Novel Hybrid Interval Prediction Approach Based on Modified Lower Upper Bound Estimation in Combination with Multi-Objective Salp Swarm Algorithm for Short-Term Load Forecasting
- (2018) Jiyang Wang et al. Energies
- Detection of Malicious Code Variants Based on Deep Learning
- (2018) Zhihua Cui et al. IEEE Transactions on Industrial Informatics
- A Hybrid Harmony search and Simulated Annealing algorithm for continuous optimization
- (2018) Assif Assad et al. INFORMATION SCIENCES
- A novel approach for software defect prediction through hybridizing gradual relational association rules with artificial neural networks
- (2018) Diana-Lucia Miholca et al. INFORMATION SCIENCES
- An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems
- (2018) Hossam Faris et al. KNOWLEDGE-BASED SYSTEMS
- Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems
- (2018) Majdi Mafarja et al. KNOWLEDGE-BASED SYSTEMS
- Extracting optimal parameters of PEM fuel cells using Salp Swarm Optimizer
- (2018) Attia A. El-Fergany RENEWABLE ENERGY
- Metaheuristic approach for an artificial neural network: Exergetic sustainability and environmental effect of a business aircraft
- (2018) Tolga Baklacioglu et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- Parameter Estimation for Soil Water Retention Curve Using the Salp Swarm Algorithm
- (2018) Jing Zhang et al. Water
- Asynchronous accelerating multi-leader salp chains for feature selection
- (2018) Ibrahim Aljarah et al. APPLIED SOFT COMPUTING
- Metaheuristic algorithms in optimizing neural network: a comparative study for forest fire susceptibility mapping in Dak Nong, Vietnam
- (2018) Quang-Thanh Bui Geomatics Natural Hazards & Risk
- Modeling and optimization of multi-objective partial disassembly line balancing problem considering hazard and profit
- (2018) Kaipu Wang et al. JOURNAL OF CLEANER PRODUCTION
- Iterated feature selection algorithms with layered recurrent neural network for software fault prediction
- (2018) Hamza Turabieh et al. EXPERT SYSTEMS WITH APPLICATIONS
- Metaheuristic design of feedforward neural networks: A review of two decades of research
- (2017) Varun Kumar Ojha et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Towards an ensemble based system for predicting the number of software faults
- (2017) Santosh Singh Rathore et al. EXPERT SYSTEMS WITH APPLICATIONS
- A new hybrid algorithm of simulated annealing and simplex downhill for solving multiple-objective aggregate production planning on fuzzy environment
- (2017) A. A. Zaidan et al. NEURAL COMPUTING & APPLICATIONS
- Hybrid Whale Optimization Algorithm with simulated annealing for feature selection
- (2017) Majdi M. Mafarja et al. NEUROCOMPUTING
- Software defect prediction: do different classifiers find the same defects?
- (2017) David Bowes et al. SOFTWARE QUALITY JOURNAL
- Three-way decisions based software defect prediction
- (2016) Weiwei Li et al. KNOWLEDGE-BASED SYSTEMS
- Binary ant lion approaches for feature selection
- (2016) E. Emary et al. NEUROCOMPUTING
- Improved probabilistic neural networks with self-adaptive strategies for transformer fault diagnosis problem
- (2016) Jiao-Hong Yi et al. Advances in Mechanical Engineering
- Prediction approach of software fault-proneness based on hybrid artificial neural network and quantum particle swarm optimization
- (2015) Cong Jin et al. APPLIED SOFT COMPUTING
- A systematic review of machine learning techniques for software fault prediction
- (2015) Ruchika Malhotra APPLIED SOFT COMPUTING
- A multi-objective evolutionary algorithm for feature selection based on mutual information with a new redundancy measure
- (2015) Zhichun Wang et al. INFORMATION SCIENCES
- Self-adaptive extreme learning machine
- (2015) Gai-Ge Wang et al. NEURAL COMPUTING & APPLICATIONS
- Training neural networks with ant colony optimization algorithms for pattern classification
- (2014) Michalis Mavrovouniotis et al. SOFT COMPUTING
- ITERATIVE FEATURE PERTURBATION AS A GENE SELECTOR FOR MICROARRAY DATA
- (2012) JUANA CANUL-REICH et al. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
- An optimizing BP neural network algorithm based on genetic algorithm
- (2011) Shifei Ding et al. ARTIFICIAL INTELLIGENCE REVIEW
- Software fault prediction: A literature review and current trends
- (2010) Cagatay Catal EXPERT SYSTEMS WITH APPLICATIONS
- A symbolic fault-prediction model based on multiobjective particle swarm optimization
- (2010) André B. de Carvalho et al. JOURNAL OF SYSTEMS AND SOFTWARE
- BGSA: binary gravitational search algorithm
- (2009) Esmat Rashedi et al. Natural Computing
- Theory of relative defect proneness
- (2008) A. Güneş Koru et al. EMPIRICAL SOFTWARE ENGINEERING
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