Neural Networks
Neural networks are a computational approach which is based on a large collection of neural units loosely modelling the way a biological brain solves problems with large clusters of biological neurons connected by axons. Each neural unit is connected with many others, and links can be enforcing or inhibitory in their effect on the activation state of connected neural units. Each individual neural unit may have a summation function which combines the values of all its inputs together. The goal of the neural network is to solve problems in the same way that the human brain would, although several neural networks are much more abstract.
Related Conference of Neural Networks
September 10-11, 2024
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
Amsterdam, Netherlands
October 24-25, 2024
10th World Congress on Computer Science, Machine Learning and Big Data
Zurich, Switzerland
November 25-26, 2024
10th International Conference and Expo on Computer Graphics & Animation
Vancouver, Canada
Neural Networks Conference Speakers
Recommended Sessions
- Aerial Robotics and UAV
- AI Machine Learning in Health Care & Medical Science
- Artificial Intelligence
- Bioengineering and Bio-Mechanics
- Human-Robot Interaction
- Humanoid Robots
- Industrial Applications of Robotics
- Intelligent Autonomous Systems and Robots
- Marine Robotics
- Medical Robotics
- Mobile robot
- Multi Robot Systems
- Neural Networks
- Remote and Telerobotics
- Robot Localization and Map Building
- Robot manipulators
- Robotics
- Robotics and Mechatronics
- Robotics and Screw Theory
- Role of 3D printing in robotics
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