Manuscript Topics

This Special Issue focuses on the broad topic of "Neural Computing and Applications" and includes original research on the practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems.
We welcome submissions that represent cutting-edge research and novel ideas in neural computation with practical applications in real-life problems.
Contributions primarily focused, but are not limited, on the following topics:

• Artificial intelligence, machine learning and big data
• Interpretability of deep learning models
• Neural networks, fuzzy logic, and evolutionary based interpretable control systems
• Supervised, unsupervised, and reinforcement learning
• Extracting understanding from large-scale and heterogeneous data
• Dimensionality reduction of large scale and complex data and sparse modeling
• Computational intelligent models
• Stability improvement of deep neural network optimization
• Optimization methods for deep learning
• Privacy preserving machine learning (e.g., federated machine learning, learning over encrypted data)
• Applications of neural computing in image/signal processing, business intelligence, games, healthcare, bioinformatics, security, robotics etc.

Keywords:
• artificial intelligence
• machine learning and big data
• applicable neural networks theory
• applied statistics
• fuzzy logic
• genetic algorithms
• hybrid intelligent systems
• intelligent control systems
• intelligent diagnostics
• intelligent forecasting
• machine learning
• neural networks
• neuro-fuzzy systems
• pattern recognition
• performance measures
• self-learning systems
• software simulations
• supervised and unsupervised learning methods
• deep learning applications

Instruction for Authors
http://www.aimspress.com/math/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/