The 18th International Conference on Neural Computation Theory and Applications (NCTA 2026) explores neural computation theory and applications, addressing deep learning, neural architectures, learning algorithms, and real-world intelligent systems across science, engineering, and industry.
Key Topics
- Deep learning
- Convolutional neural networks
- Recurrent neural networks
- Reinforcement learning
- Neural approaches and neural architectures
- Learning paradigms and algorithms
- Bio-inspired models and solutions
- Computational neuroscience
- Support vector machines and kernel methods
- Stochastic learning and statistical algorithms
- Adaptive architectures and mechanisms
- Higher level artificial neural network based intelligent systems
- Neural based data mining and complex information processing
- Neural prostheses and medical applications
- Pattern recognition and decision making applications
- Industrial and real-world applications
- Financial applications of neural computation
- Image processing and artificial vision applications
- Stability and instability in artificial neural networks
- Complex artificial neural network based systems and dynamics
Who should attend
- Researchers in neural computation
- Artificial intelligence scientists
- Machine learning engineers
- Computational neuroscience researchers
- Data mining and pattern recognition specialists
- Industrial AI practitioners
- Biomedical and medical AI researchers
