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
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Neural Networks Conference Speakers
Recommended Sessions
- Aerial Robotics and UAV
- AI Machine Learning in Health Care & Medical Science
- Artificial Intelligence
- Bioengineering and Bio-Mechanics
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- Industrial Applications of Robotics
- Intelligent Autonomous Systems and Robots
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- Medical Robotics
- Mobile robot
- Multi Robot Systems
- Neural Networks
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- Robot manipulators
- Robotics
- Robotics and Mechatronics
- Robotics and Screw Theory
- Role of 3D printing in robotics
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