Artificial Neural Networks (ANN)

Human brain has neurons that help in adaptability, learning ability & to solve any problem. Unlike Human brain, computer scientists dreamt for computers to solve the perceptual problems that fast. And hence, ANN model came into existence. Artificial Neural Networks is nothing but a biologically inspired computational model that consists of processing elements (neurons) and connections between them, as well as of training and recall algorithms. There are many types of Neural Networks:

  • Feed-forward and neural network
  • Radial basis function (RBF) network
  • Kohonen self-organizing network
  • Learning vector quantization
  • Recurrent neural network
  • Modular neural networks
  • Physical neural networks
  • Other types of networks

Related Conference of Artificial Neural Networks (ANN)

September 29-29, 2021

Webinar on Artificial Intelligence

London, UK
October 04-05, 2021

7th Global Innovators Summit

Singapore City, Singapore
November 16-16, 2021

8th World Machine Learning and Deep learning Conference

Barcelona, Spain
November 22-23, 2021

8th Global Meet on Wireless and Satellite Communications

Munich, Germany
December 06-07, 2021

2nd International Conference on Microfluidics

Rome, Italy
December 13-14, 2021

International Conference on Microfluidics & Bio-MEMS

Abu Dhabi, UAE
February 14-15, 2022

International Conference on Mechatronics and Automation

Paris, France
February 14-15, 2022

2nd International Congress on AI and Machine Learning

Prague, Czech Republic
February 14-15, 2022

Global Summit on Robotics and Artificial Intelligence

Prague, Czech Republic

Artificial Neural Networks (ANN) Conference Speakers

Recommended Sessions

Related Journals

Are you interested in