Manuscript Topics

Nowadays, artificial intelligence (AI) plays an integral role in scientific progress. Various methods have been developed to solve previously challenging problems. AI has global potential to provide tools for learning, knowledge discovery, and decision-making that outperform human capabilities and can be applied across a broad range of fields. It has also become a core field that provides basic building blocks for computer vision systems, computational modeling, security threat assessment, simulated biological intelligence systems, multi-agent systems, data conversion methods, etc.

A neural network is a technical reproduction of the biological neural network in a simplified sense. It builds practical neural network models based on the principles of the biological neural network and practical applications, designs corresponding learning algorithms, simulates some intelligent activities of the human brain, and solves practical problems in technology. Recent developments in artificial intelligence, particularly in neural networks, have allowed research in almost every conceivable field, from purely theoretical methods to fully applied industrial research.

This Special Issue aims to gather a collection of articles reflecting the latest applied implementations of neural networks in different areas, highlighting the similarities and differences in approaches. This will enable researchers to apply developed neural network cases and obtain new results in various application areas.

Topics of interest include, but are not limited to:
• Computational Neuroscience
• Foundation of Artificial Intelligence
• Deep Learning and Classic Machine Learning
• Evolutionary Computation and Neural Networks
• Multiple Objective Optimization
• Neural Modeling, Architectures, and Learning Algorithms
• Deep Neural Networks
• Intelligent Systems
• Evolutionary Combinatorial Optimization and Metaheuristics
• Surrogate Model for Optimization
• Complex Network

Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/