Aim and Scope
Our Journal provides a chance for academic and industry professionals to discuss recent progress in the area of neural networks and its applications.
To bridge the gap of users who do not have access to major databases where one should pay for every downloaded article; this online publication platform is open to all readers as part of our commitment to global scientific society.
Topics Covered
The main topics include but will not be limited to: (Excellent surveying works, summary or introduction of new or fresh idea in these areas are welcome, too).
- Artificial Neural Networks
- Cognitive Science
- Coping with hidden states in reinforcement learning
- Engineering and Applications
- Learning Systems
- Machine Learning, Neural and Statistical Classification
- Mathematical and Computational Analysis
- Modular neural networks
- Neural coding
- Neural gas
- Neural machine translation
- Neural network models
- Neural network software
- Neural networks and fuzzy systems
- Neural Networks Applications
- Neuroevolution
- Neuroscience
- Neuroscience
- Policy iteration methods of reinforcement learning