International Symposium on Neural Computing and Applications (ISNCA 2020)

The International Symposium on Neural Computing and Applications (ISNCA 2020) covers topics such as:

• Adaptive computing
• Adaptive Architectures and Mechanisms
• Applicable neural networks theory
• Algorithms
• Architectures
• Applied statistics
• Benchmarks
• Artificial intelligence
• Complex Artificial Neural Network Based Systems and Dynamics
• Case histories of innovative applications
• Deep Learning
• Computational Neuroscience
• Genetic algorithms
• Fuzzy logic
• Higher Level Artificial Neural Network Based Intelligent Systems
• Hardware implementations
• Intelligent agents
• Hybrid intelligent systems
• Intelligent diagnostics
• Intelligent control systems
• Learning Paradigms and Algorithms
• Intelligent forecasting
• Neural networks
• Machine learning
• Neurodynamic Approaches and Solutions
• Neurocomputational Formulations
• Pattern recognition
• Neuro-fuzzy systems
• RBF Structures
• Performance measures
• Self-learning systems
• Reinforcement Learning
• Single-neuron Modeling
• Self-organization and Emergence
• Stability and Instability in Artificial Neural Networks
• Software simulations
• Supervised and unsupervised learning methods
• Stochastic Learning and Statistical Algorithms
• System engineering and integration
• Support Vector Machines and Kernel Methods
• Applications: Image Processing and Artificial Vision, Pattern Recognition, Decision Making, Industrial and Real World applications, Financial Applications, Neural Prostheses and Medical Applications, Neural based Data Mining and Complex Information Process