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
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Artificial Neural Networks (ANN) Conference Speakers
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