ICNN 2025: International Conference on Neural Networks

The ICNN 2025: International Conference on Neural Networks explores advancements in neural networks, computational intelligence, and their applications in areas like robotics, image processing, and data analysis.

Topics

• Associative memories
• Neural Networks
• Bayesian networks
• Autonomous mental development
• Brain computer interface
• Blind source separation
• Computational intelligence
• Brain Imaging and neural information processing
• Connectionist cognitive science
• Computational neuroscience
• Data analysis
• Connectionist theory and cognitive science
• Embedded neural systems
• Data mining
• Evolutionary computation
• Emerging areas
• Hardware implementations and embedded systems
• Graphical network models
• Hybrid systems
• Hybrid intelligent systems
• Image processing
• Image and signal processing
• Intelligent multimedia
• Inductive modeling
• Learning algorithms
• Intrusion detection and fault diagnosis
• Mathematical theory of computing
• Mathematical modeling of neural systems
• Neural and hybrid architectures
• Nature inspired computation
• Neural dynamics and complex systems
• Neural control, planning and robotics applications
• Neurodynamic optimization and adaptive dynamic programming
• Neurodynamic analysis
• Pattern recognition
• Neuroinformatics and bioinformatics
• Probabilistic and information-theoretic methods
• Principal and independent component analysis
• Real-world applications
• Real world systems
• Self-organization
• Robotic and control applications
• Supervised, unsupervised and reinforcement learning
• Signal and time series processing
• Telecommunications
• Support vector machines and kernel methods
• Transportation systems
• Time series analysis