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ISNCA 2020 : 2020 International Symposium on Neural Computing and Applications (ISNCA 2020)


When Jul 17, 2020 - Jul 19, 2020
Where Seoul, South Korea
Submission Deadline Mar 31, 2020
Notification Due Mar 31, 2020
Final Version Due Mar 31, 2020
Categories    neural computing   applications

Call For Papers

★2020 International Symposium on Neural Computing and Applications (ISNCA 2020)---Ei Compendex & Scopus—Call for paper 
July 17-19, 2020|Seoul, South Korea|Website:

★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:
2.Submit Via email directly to:

Ms. Anna H. M. Wong

Call for papers( :
Adaptive Architectures and Mechanisms

Adaptive computing


Applicable neural networks theory

Applied statistics


Artificial intelligence


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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