Advanced Computing Methods for Fuzzy Systems and Neural Networks

Dear Colleagues,

Fuzzy Systems and Artificial Intelligence (AI) has wide applications in different control systems and optimization algorithms. AI is widely used in microgrids, robots, biologic systems, etc. Hence, the current Special Issue on Advanced Computing Methods for Fuzzy systems and Neural Networks comprises topics related to recent developments in Artificial Intelligence including：

• Machine learning (neural networks, deep nets, reinforcement learning, federated learning);
• Knowledge representation in machines;
• Reasoning (rule-based systems, logical systems, fuzzy systems, formal specification and verification);
• Mathematical analysis, mathematical programming, functional analysis, constraint satisfaction;
• Heuristic methods (Bio- and nature-inspired computing, theorem proving);
• Imprecise and uncertain reasoning (Bayesian, fuzzy approaches, etc.);
• High-performance computing methods, edge, fog, cloud computing, IoT;
• Distributed ledgers and blockchains.

The engineering applications include:

• Natural language and speech processing;
• Computer vision;
• Distributed multi-agent systems, unmanned vehicles;
• Agent-based modelling and simulation;
• Autonomous driving;
• Renewable energy, smart grids, E-vehicles;
• Smart homes, smart cities, and smart future;
• Hazard modelling and mitigation;
• Manufacturing and Industry 4.0;
• Remote sensing and operations.

We look forward to receiving your contributions. 

Dr. Ebrahim Navid Sadjadi
Dr. Ahmad Fakharian
Prof. Dr. Raúl Suárez
Dr. Farhad Shahnia
Guest Editors

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