Journal of Intelligent Learning Systems and Applications (JILSA)
http://www.scirp.org/journal/jilsa/

The Journal of Intelligence Learning Systems and Applications (JILSA) is a peer reviewed international journal with a key objective to provide the academic and industrial community a medium for presenting original cutting-edge research related to intelligent learning systems and their applications. JILSA invites authors to submit their original and unpublished work that communicates current research on intelligent learning systems both in the theoretical and methodological aspects, as well as various applications in real-world applications.

Papers are invited on the topics including, but not limited to:

* Approximate Dynamic Programming
* Autonomic Computing
* Autonomous Learning Systems
* Bio-inspired Learning Method
* Clustering
* Cyber-physical Systems
* Evolutionary Computation
* Filter Bank
* Fuzzy and Rough Set
* General Theory on Intelligent Learning Systems
* Intelligent Applications
* Learning Control Systems
* Multi-agent Learning
* Multiple Models Strategy
* Neural Networks
* Pattern Recognition Based on Learning Techniques
* Predictive Control
* Recommendation System
* Reinforcement Learning
* Robotics
* Smart Grid Techniques and Applications
* Social Network Analysis
* Statistical Learning Theory
* Supervised Learning
* Time-frequency Representation
* Unsupervised Learning
* User Behavior Modelling
* Wavelet Theory

Journal of Intelligent Learning Systems and Applications is available free of charge as an Open Access journal on the Internet. Abstracts available online. Articles available in PDF format.