Computational Intelligence and Neuroscience

Advances in Neural Networks and Hybrid-Metaheuristics: Theory, Algorithms, and Novel Engineering Applications


Publishing date
17 Jun 2016
Status
Published
Submission deadline
29 Jan 2016

1Instituto Politécnico Nacional, Ciudad de México, Mexico

2Oklahoma State University-Stillwater, Stillwater, USA

3Universidad de Málaga, Málaga, Spain

4Cinvestav, Ciudad de México, Mexico

5Universidad Nacional de San Luis, San Luis, Argentina


Advances in Neural Networks and Hybrid-Metaheuristics: Theory, Algorithms, and Novel Engineering Applications

Description

Neural networks are a family of statistical learning models inspired by biological neural networks which are mainly used to estimate functions; they also have been used to solve a wide variety of tasks that are hard to solve using ordinary rule-based programming, including computer vision and speech recognition. On the other hand, a metaheuristic is a higher-level procedure designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem.

Recently, the neural networks area has once again become a hot topic, particularly using new architectures (spiking networks, deep networks), hybrid-schemes (with fuzzy logic and bioinspired algorithms), and stability analysis of mixed architectures (with fuzzy or sliding modes). Hybrid-metaheuristics aim to cover novel modifications on well-established metaheuristics algorithms looking to undertake the problem at hand.

Particularly, there are few published results on applications in engineering, bioengineering, and neurolinguistics using these two key subjects in computational intelligence.

This special issue focuses on research communities with high experience in evolutionary systems, neural networks, fuzzy logic, natural language processing, and multidisciplinary research teams with the aim to obtain novel solutions for real world applications.

Potential topics include, but are not limited to:

  • Neural networks and neurocontrol
  • Hybrid neural networks
  • Analysis of neural networks dynamics
  • Hybrid-metaheuristics
  • Metaheuristics for multiobjective optimization and natural language processing
  • Deep learning in computational linguistics
  • Parallel metaheuristics
  • Dynamic problems and dynamic metaheuristics

Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 3263612
  • - Editorial

Advances in Neural Networks and Hybrid-Metaheuristics: Theory, Algorithms, and Novel Engineering Applications

Marco A. Moreno-Armendáriz | Martin Hagan | ... | Guillermo Leguizamón
  • Special Issue
  • - Volume 2016
  • - Article ID 1652475
  • - Research Article

PLAT: An Automated Fault and Behavioural Anomaly Detection Tool for PLC Controlled Manufacturing Systems

Arup Ghosh | Shiming Qin | ... | Gi-Nam Wang
  • Special Issue
  • - Volume 2016
  • - Article ID 1638936
  • - Research Article

Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts

Helena Gómez-Adorno | Ilia Markov | ... | Liliana Chanona-Hernandez
  • Special Issue
  • - Volume 2016
  • - Article ID 8091267
  • - Research Article

Adaptive Online Sequential ELM for Concept Drift Tackling

Arif Budiman | Mohamad Ivan Fanany | Chan Basaruddin
  • Special Issue
  • - Volume 2016
  • - Article ID 8289237
  • - Research Article

A Methodology for the Hybridization Based in Active Components: The Case of cGA and Scatter Search

Andrea Villagra | Enrique Alba | Guillermo Leguizamón
  • Special Issue
  • - Volume 2016
  • - Article ID 1537325
  • - Research Article

Metaheuristic Algorithms for Convolution Neural Network

L. M. Rasdi Rere | Mohamad Ivan Fanany | Aniati Murni Arymurthy
  • Special Issue
  • - Volume 2016
  • - Article ID 1690924
  • - Research Article

Neural Net Gains Estimation Based on an Equivalent Model

Karen Alicia Aguilar Cruz | José de Jesús Medel Juárez | ... | Midory Esmeralda Vigueras Velázquez
  • Special Issue
  • - Volume 2016
  • - Article ID 2842780
  • - Research Article

Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model

Yang Liu | Weizhe Jing | Lixiong Xu
  • Special Issue
  • - Volume 2016
  • - Article ID 6508734
  • - Research Article

Global Exponential Stability of Almost Periodic Solution for Neutral-Type Cohen-Grossberg Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses

Lijun Xu | Qi Jiang | Guodong Gu
  • Special Issue
  • - Volume 2016
  • - Article ID 8469428
  • - Research Article

A Genetic Algorithm and Fuzzy Logic Approach for Video Shot Boundary Detection

Dalton Meitei Thounaojam | Thongam Khelchandra | ... | Sudipta Roy
Computational Intelligence and Neuroscience
 Journal metrics
Acceptance rate28%
Submission to final decision79 days
Acceptance to publication38 days
CiteScore2.270
Impact Factor2.154
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