Inferring gene regulatory networks with hybrid of multi-agent genetic algorithm and random forests based on fuzzy cognitive maps-Reference-Cited by-同舟云学术

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Inferring gene regulatory networks with hybrid of multi-agent genetic algorithm and random forests based on fuzzy cognitive maps

Published:2018-08 Issue: Volume:69 Page:585-598
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Liu Luowen^ORCID,Liu Jing

Funder

Outstanding Young Scholar Program of National Natural Science Foundation of China (NSFC)

General Program of NSFC

Key Program of Fundamental Research Project of Natural Science of Shaanxi Province, China

Publisher

Elsevier BV

Subject

Software

Reference59 articles.

1. Learning FCM by chaotic simulated annealing;Alizadeh;Chaos Solitons Fractals,2009

2. Development of a novel multiplt-attribute decision making model via fuzzy cognitive maps and hierarchical fuzzy TOPSIS;Baykasoğlu;Inf. Sci.,2015

3. Random forests;Breiman;Mach. Learn.,2001

4. Pricing complex barrier options with general features using sharp large deviation estimates;Baldi;Esaim Prob. Stat.,2001

5. Training fuzzy cognitive maps via extended great Deluge algorithm with applications;Baykasoglu;Comput. Ind.,2011

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1. Inferring sparse genetic regulatory networks based on maximum-entropy probability model and multi-objective memetic algorithm;Memetic Computing;2022-12-28

2. Time series forecasting using fuzzy cognitive maps: a survey;Artificial Intelligence Review;2022-12-21

3. Innovations in integrating machine learning and agent-based modeling of biomedical systems;Frontiers in Systems Biology;2022-11-10

4. Learning large-scale fuzzy cognitive maps under limited resources;Engineering Applications of Artificial Intelligence;2022-11

5. Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm;Applied Soft Computing;2021-09

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