Page 1 | Search Results | International Journal of Intelligent Computing and Cybernetics

1-6 of 6

Sort by

Sort Order Select

Journal Articles

Synchronous self-learning Pareto strategy: An ensemble framework for vector and multi-criterion optimization

Ahmad Mozaffari

International Journal of Intelligent Computing and Cybernetics (2018) 11 (2): 197–233.

https://doi.org/10.1108/IJICC-05-2017-0050

Published: 11 June 2018

View article titled, Synchronous self-learning Pareto strategy: An ensemble framework for vector and multi-criterion optimization

Add to Citation Manager for Synchronous self-learning Pareto strategy: An ensemble framework for vector and multi-criterion optimization

Journal Articles

Auto-regressive multiple-valued logic neurons with sequential Chua’s oscillator back-propagation learning for online prediction and synchronization of chaotic trajectories

Ahmad Mozaffari, Nasser L. Azad, Alireza Fathi

International Journal of Intelligent Computing and Cybernetics (2015) 8 (2): 102–138.

https://doi.org/10.1108/IJICC-11-2014-0046

Published: 08 June 2015

View article titled, Auto-regressive multiple-valued logic neurons with sequential Chua’s oscillator back-propagation learning for online prediction and synchronization of chaotic trajectories

Add to Citation Manager for Auto-regressive multiple-valued logic neurons with sequential Chua’s oscillator back-propagation learning for online prediction and synchronization of chaotic trajectories

Journal Articles

Simultaneous knowledge-based identification and optimization of PHEV fuel economy using hyper-level Pareto-based chaotic Lamarckian immune algorithm, MSBA and fuzzy programming

Ahmad Mozaffari, Nasser L. Azad, Alireza Fathi

International Journal of Intelligent Computing and Cybernetics (2015) 8 (1): 2–27.

https://doi.org/10.1108/IJICC-07-2014-0034

Published: 09 March 2015

View article titled, Simultaneous knowledge-based identification and optimization of PHEV fuel economy using hyper-level Pareto-based chaotic Lamarckian immune algorithm, MSBA and fuzzy programming

Add to Citation Manager for Simultaneous knowledge-based identification and optimization of PHEV fuel economy using hyper-level Pareto-based chaotic Lamarckian immune algorithm, MSBA and fuzzy programming

Journal Articles

Regularized machine learning through constraint swarm and evolutionary computation applied to regression problems

Ahmad Mozaffari, Nasser Lashgarian Azad, Alireza Fathi

International Journal of Intelligent Computing and Cybernetics (2014) 7 (4): 346–381.

https://doi.org/10.1108/IJICC-05-2014-0020

Published: 04 November 2014

View article titled, Regularized machine learning through constraint swarm and evolutionary computation applied to regression problems

Add to Citation Manager for Regularized machine learning through constraint swarm and evolutionary computation applied to regression problems

Journal Articles

An evolvable self-organizing neuro-fuzzy multilayered classifier with group method data handling and grammar-based bio-inspired supervisors for fault diagnosis of hydraulic systems

Ahmad Mozaffari, Alireza Fathi, Saeed Behzadipour

International Journal of Intelligent Computing and Cybernetics (2014) 7 (1): 38–78.

https://doi.org/10.1108/IJICC-06-2013-0034

Published: 04 March 2014

View article titled, An evolvable self-organizing neuro-fuzzy multilayered classifier with group method data handling and grammar-based bio-inspired supervisors for fault diagnosis of hydraulic systems

Add to Citation Manager for An evolvable self-organizing neuro-fuzzy multilayered classifier with group method data handling and grammar-based bio-inspired supervisors for fault diagnosis of hydraulic systems

Journal Articles

Identification of a dynamic model for shape memory alloy actuator using Hammerstein-Wiener gray box and mutable smart bee algorithm

Alireza Fathi, Ahmad Mozaffari

International Journal of Intelligent Computing and Cybernetics (2013) 6 (4): 328–357.

https://doi.org/10.1108/IJICC-02-2013-0003

Published: 25 November 2013

View article titled, Identification of a dynamic model for shape memory alloy actuator using Hammerstein-Wiener gray box and mutable smart bee algorithm

Add to Citation Manager for Identification of a dynamic model for shape memory alloy actuator using Hammerstein-Wiener gray box and mutable smart bee algorithm

Update search

NARROW

Format

Journal

Type

Date

Availability

Synchronous self-learning Pareto strategy: An ensemble framework for vector and multi-criterion optimization

Auto-regressive multiple-valued logic neurons with sequential Chua’s oscillator back-propagation learning for online prediction and synchronization of chaotic trajectories

Simultaneous knowledge-based identification and optimization of PHEV fuel economy using hyper-level Pareto-based chaotic Lamarckian immune algorithm, MSBA and fuzzy programming

Regularized machine learning through constraint swarm and evolutionary computation applied to regression problems

An evolvable self-organizing neuro-fuzzy multilayered classifier with group method data handling and grammar-based bio-inspired supervisors for fault diagnosis of hydraulic systems

Identification of a dynamic model for shape memory alloy actuator using Hammerstein-Wiener gray box and mutable smart bee algorithm

Email alerts