Mohammed Falah Mohammed

Orcid: 0000-0002-5155-7461

According to our database1, Mohammed Falah Mohammed authored at least 10 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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Bibliography

2022
Investigation of contraction process issue in fuzzy min-max models.
Int. J. Data Min. Model. Manag., 2022

2020
A Refined Fuzzy Min-Max Neural Network With New Learning Procedures for Pattern Classification.
IEEE Trans. Fuzzy Syst., 2020

2019
Survey of Fuzzy Min-Max Neural Network for Pattern Classification Variants and Applications.
IEEE Trans. Fuzzy Syst., 2019

A Critical Review on Selected Fuzzy Min-Max Neural Networks and Their Significance and Challenges in Pattern Classification.
IEEE Access, 2019

Analysis on Misclassification in Existing Contraction of Fuzzy Min-Max Models.
Proceedings of the Emerging Trends in Intelligent Computing and Informatics, 2019

2018
SAIRF: A similarity approach for attack intention recognition using fuzzy min-max neural network.
J. Comput. Sci., 2018

2017
A new hyperbox selection rule and a pruning strategy for the enhanced fuzzy min-max neural network.
Neural Networks, 2017

Improving the Fuzzy Min-Max neural network with a K-nearest hyperbox expansion rule for pattern classification.
Appl. Soft Comput., 2017

2015
An Enhanced Fuzzy Min-Max Neural Network for Pattern Classification.
IEEE Trans. Neural Networks Learn. Syst., 2015

2014
A novel trust measurement method based on certified belief in strength for a multi-agent classifier system.
Neural Comput. Appl., 2014


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