Understating continuous ant colony optimization for neural network training: A case study on intelligent sensing of manhole gas components-Reference-Cited by-同舟云学术

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Understating continuous ant colony optimization for neural network training: A case study on intelligent sensing of manhole gas components

Published:2016-03-11 Issue:4 Volume:12 Page:185-202
ISSN:1448-5869
Container-title:International Journal of Hybrid Intelligent Systems
language:
Short-container-title:HIS

Author:

Ojha Varun Kumar¹²,Dutta Paramartha³,Chaudhuri Atal²,Saha Hiranmay⁴

Affiliation:

1. IT4Innovations, VŠB Technical University of Ostrava, Ostrava, Czech Republic

2. Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

3. Department of Computer and System Sciences, Visva-Bharati University, India

4. CEGESS, Indian Institute of Engineering Science and Technology, Howrah, India

Publisher

IOS Press

Reference39 articles.

1. The insidious foe - sewer gas;Whorton;West. J. Med.,2001

2. Lewis, Dangerous Properties of Industrial Materials, ninth edition ed. Van Nostrand Reinhold, 1996, iSBN 0132047674.

3. The self organizing exploratory pattern of the argentine ant;Deneubourg;Journal of Insect Behaviour,1990

4. Ant colony system: A 10 cooperative learning approach to the travelling salesman problem;Dorigo;IEEE Transactions on Evolutionary Computation,1997

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Classification of Alcohol and Carbon Monoxide using Gas Sensors by Heuristic Algorithm based Neural Network;Academic Perspective Procedia;2018-11-09

2. Optimization strategy of neural networks based on rational agents;International Journal of Hybrid Intelligent Systems;2018-03-26

3. Study on ant colony optimization algorithm for “one-day tour” traffic line;Cluster Computing;2018-03-09

4. Identifying hazardousness of sewer pipeline gas mixture using classification methods: a comparative study;Neural Computing and Applications;2016-06-28

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