International Symposium on Neural Computing and Applications (ISNCA)


The International Symposium on Neural Computing and Applications (ISNCA) 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

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