Sign for Notice Everyday    Sign Up| Sign In| Link|

Our Sponsors

Receive Latest News

Share Us

ICANN 2020 - International Conference on Artificial Neural Networks 2020

View: 342

Website | Edit Freely

Category Artificial Neural Networks; Learning theory; Fuzzy logic and systems; Hybrid system; Computer vision; Pattern Recognition; Signal Processing; Telecommunications; Fusion; Robotics; Adaptive Control; Data mining; Process Monitoring; Bioinformatics;

Deadline: August 10, 2020 | Date: September 08, 2020-September 09, 2020

Venue/Country: London, U.K.

Updated: 2019-10-29 13:09:56 (GMT+9)

Call For Papers - CFP

Artificial Neural Networks Techniques

Learning theory

Evolutionary architectures

Support vectors machines

Unsupervised Learning

Reinforcement Learning

Adaptive architecture

Fuzzy logic and systems

Hybrid system

Hardware development

Low cost architectures

Artificial Neural Networks Research Areas

Computer vision

Pattern Recognition

Color, Motion analysis

Signal Processing




Intelligent Transportation Systems

Financial Forecasting

Time Series Analysis

Data mining

Adaptive Control

Modelling and identification


Process Monitoring and Diagnosis

Intelligent Agents

Multi Agent Systems

Real Time Intelligent Systems


Fuzzy logic and systems

Support vectors machines

Humanistic Data Mining


Genetic Algorithms and Optimization

Feature Minimization


Clustering - Fuzzy Clustering

Artificial Neural Networks Engineering Applications

Civil Engineering Applications

Biomedical Engineering Applications

Decision Making Applications

Manufacturing Engineering Applications

Computer science

Thermal Engineering

Financial Engineering

General Engineering Applications

Environmental Engineering

Risk Modelling

Social Media Applications


Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.