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★2020 International Symposium on Neural Computing and Applications (ISNCA 2020)---Ei Compendex & Scopus—Call for paper
July 17-19, 2020｜Seoul, South Korea｜Website: www.isnca.org
★ISNCA 2020 provides researchers and industry experts with one of the best platforms to meet and discuss groundbreaking research and innovations in the field of Neural Computing and Applications.
International invited speakers are invited to present their state-of-the-art work on various aspects, which will highlight important and developing areas.
★Publication and Indexing
All accepted papers will be published in the digital conference proceedings which will be sent to be Indexed by all major citation databases such as Ei Compendex, SCOPUS, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc.
A selection of papers will be recommended to be published in international journals.
★Program Preview/ Program at a glance
July 17: Registration + Icebreaker Reception
July 18: Opening Ceremony+ KN Speech+ Technical Sessions
July 19: Technical Sessions+ Half day tour/Lab tours
★Paper Submission
1.PDF version submit via CMT: https://cmt3.research.microsoft.com/ISNCA2020
2.Submit Via email directly to: [email protected]
★CONTACT US
Ms. Anna H. M. Wong
Email: [email protected]
Website: www.isnca.org
Call for papers(http://www.isnca.org/cfp.html) :
Adaptive Architectures and Mechanisms
Adaptive computing
Algorithms
Applicable neural networks theory
Applied statistics
Architectures
Artificial intelligence
Benchmarks
Case histories of innovative applications
Complex Artificial Neural Network Based Systems and Dynamics
Computational Neuroscience
Deep Learning
Fuzzy logic
Genetic algorithms
Hardware implementations
Higher Level Artificial Neural Network Based Intelligent Systems
Hybrid intelligent systems
Intelligent agents
Intelligent control systems
Intelligent diagnostics
Intelligent forecasting
Learning Paradigms and Algorithms
Machine learning
Neural networks
Neurocomputational Formulations
Neurodynamic Approaches and Solutions
Neuro-fuzzy systems
Pattern recognition
Performance measures
RBF Structures
Reinforcement Learning
Self-learning systems
Self-organization and Emergence
Single-neuron Modeling
Software simulations
Stability and Instability in Artificial Neural Networks
Stochastic Learning and Statistical Algorithms
Supervised and unsupervised learning methods
Support Vector Machines and Kernel Methods
System engineering and integration
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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