Optimizing Feedforward Neural Networks Using Biogeography Based Optimization for E-Mail Spam Identification

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International Journal of Communications, Network and System Sciences

ISSN Print: 1913-3715
ISSN Online: 1913-3723
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"Optimizing Feedforward Neural Networks Using Biogeography Based Optimization for E-Mail Spam Identification"
written by Ali Rodan, Hossam Faris, Ja’far Alqatawna,
published by International Journal of Communications, Network and System Sciences, Vol.9 No.1, 2016

has been cited by the following article(s):

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CrossRef

[1]	BPSO based neural network approach for content-based face retrieval
	Multimedia Tools and Applications, 2022

[2]	Training Neural Networks by Enhance Grasshopper Optimization Algorithm for Spam Detection System
	IEEE …, 2021

[3]	Application of Multilayer Perceptron Genetic Algorithm Neural Network in Chinese-English Parallel Corpus Noise Processing
	Computational Intelligence and …, 2021

[4]	Review Optimized Artificial Neural Network by Meta-Heuristic Algorithm and its Applications
	Journal of Al-Qadisiyah for computer science and …, 2021

[5]	Kernel Adaptive Filtering Approaches for Financial Time-Series Prediction
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[6]	Training Feedforward Neural Network Using Enhanced Black Hole Algorithm: A Case Study on COVID-19 Related ACE2 Gene Expression Classification
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[7]	Advances of metaheuristic algorithms in training neural networks for industrial applications
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[8]	An Integrated Model to Email Spam Classification Using an Enhanced Grasshopper Optimization Algorithm to Train a Multilayer Perceptron Neural Network
	2020

[9]	Spam Classification Based on Supervised Learning Using Grasshopper Optimization Algorithm and Artificial Neural Network
	2020

[10]	SURVEY OF E-MAIL CLASSIFICATION: REVIEW AND OPEN ISSUES
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[11]	Link Prediction Using Evolutionary Neural Network Models
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[12]	A survey: Comparison between Convolutional Neural Network and YOLO in image identification
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[13]	Resemblance of Biological Particle Swarm Optimization and Particle Swarm Optimization for CBFR by using NN
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[14]	Biogeography-Based Optimization for Weight Optimization in Elman Neural Network Compared with Meta-Heuristics Methods
	2020

[15]	Large-Scale Feedforward Neural Network Optimization by a Self-Adaptive Strategy and Parameter Based Particle Swarm Optimization
	2019

[16]	Review of Meta-Heuristic Optimization based Artificial Neural Networks and its Applications
	2019

[17]	Performance Evaluation of Feed Forward Neural Network for Image Classification
	2018

[18]	Computing the Performance of FFNN for Classifying Purposes
	2018

[19]	Optimizing Naïve Bayes Algorithm for SMS Spam Filtering on Mobile Phone to Reduce the Consumption of Resources
	2017

[20]	Features Selection Effect on Predicting the Popularity of Online News
	2017

[21]	Improving email spam detection using content based feature engineering approach
	2017

[22]	A Content-Based Spam E-Mail Filtering Approach Using Multilayer Perceptron Neural Networks
	2016

[23]	A Content-Based Spam E-Mail Filtering Approach Using Multilayer Percepton Neural Networks
	International Journal of Engineering Trends and Technology, 2016

[24]	Voting-based Classification for E-mail Spam Detection
	Journal of ICT Research and Applications, 2016

[25]	A Hybrid Approach Based on Particle Swarm Optimization and Random Forests for E-Mail Spam Filtering
	Computational Collective Intelligence, 2016

[26]	Spam Filtering with Sender Authentication Network
	Computer Communications, 2016

[27]	Voting-based Classification for E-mail Spam Detection.
	2016

[1]	BPSO based neural network approach for content-based face retrieval Multimedia Tools and Applications, 2022 DOI:10.1007/s11042-022-13208-0

[2]	E-mail Spam Classification Using Grasshopper Optimization Algorithm and Neural Networks Computers, Materials & Continua, 2022 DOI:10.32604/cmc.2022.020472

[3]	Application of Multilayer Perceptron Genetic Algorithm Neural Network in Chinese-English Parallel Corpus Noise Processing Computational Intelligence and Neuroscience, 2021 DOI:10.1155/2021/7144635

[4]	Training Feedforward Neural Network Using Enhanced Black Hole Algorithm: A Case Study on COVID-19 Related ACE2 Gene Expression Classification Arabian Journal for Science and Engineering, 2021 DOI:10.1007/s13369-020-05217-8

[5]	Training Neural Networks by Enhance Grasshopper Optimization Algorithm for Spam Detection System IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3105914

[6]	A survey: Comparison between Convolutional Neural Network and YOLO in image identification Journal of Physics: Conference Series, 2020 DOI:10.1088/1742-6596/1453/1/012139

[7]	Review of Meta-Heuristic Optimization based Artificial Neural Networks and its Applications Journal of Physics: Conference Series, 2019 DOI:10.1088/1742-6596/1362/1/012074

[8]	Large-Scale Feedforward Neural Network Optimization by a Self-Adaptive Strategy and Parameter Based Particle Swarm Optimization IEEE Access, 2019 DOI:10.1109/ACCESS.2019.2911530

[9]	Improving email spam detection using content based feature engineering approach 2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), 2017 DOI:10.1109/AEECT.2017.8257764

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