Artificial Neural Networks

Artificial neural networks are based on the conviction that works with the human brain by making the right connections, can be imitated using silicon and wires as living neurons and dendrites. An artificial neural network is nothing but a biologically inspired computational model that consists of processing elements and connections between them, as well as of training and recall algorithms. There are several types of Neural Networks such as Feed Forward ANN, Feed Back ANN, Learning vector quantization, and many more.

  • Networks with the memory model
  • Recurrent neural network
  • Supervised model
  • Physical neural networks

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