Allied Academies

Session on: Neural Networks

Session on: Neural Networks
Artificial neural networks (ANNs)  are computing systems motivated by the biological neural networks that compose animal brains. An ANN is based on the assembly of linked units or nodes called artificial neurons. The artificial neuron that encounters the signal can process it and then notify artificial neurons connected to it. It has the ability to deal with incomplete information. Neural networks can be classified based on some attributes known as Connection typeTopology and Learning methods.

Related Conferences: Robotics Conferences | Mechatronics Congress | Artificial Intelligence Conferences | Engineering Conferences | Deep Learning conferences | Industrial Engineering Meetings | Robotics and Automation Conferences

Robotics 2018 | 4th International Conference and Expo on Automobile Engineering and Design, May 16-17, 2018 Tokyo, Japan | Global summit on Nanotechnology and Nanorobotics, November 8-9, 2017 New Orleans, Louisiana, USA | 5th International Conference on Automation and Robotics, April 16-17, 2018 Las Vegas, USA |  5th International Conference on Artificial Intelligence, April 16-17, 2018 Las Vegas, USA | 4th Global Summit and Expo on Multimedia & Artificial Intelligence, July 19-21, 2018 Rome, Italy | SAS Global Forum April 8-11, Denver, CO, USA | Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA | Machine Intelligence Summit, April 12-13, Hong Kong, Deep Learning Summit, April 12-13, Hong Kong.

Related Societies and Associations:

Bristol Robotics  Laboratory | British Automation and Robotic Association | Australian Centre for Field Robotics | Intelligent Robotics Group |  International Federation of Robotics | Robotic Industries Association | Robot Research Initiative

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