At the "Nervous Informatics-2017" conference held recently, Alexandrov Gorban, a neuron network expert and a doctor of physics and mathematics, introduced why neural networks are needed in the computer age.
A network of simple elements of interconnected artificial neurons is called a neural network. Each neuron is a simple element that transmits a signal. It can be said that it is the connection structure, not the connected elements (neurons) that play a major role, which is the basis for the establishment of various neural networks.
Gorban said: "The main advantage of neural networks is that they can adapt well to parallel computing and can also be trained. One of the most famous and popular applications of neural networks is to identify images: faces, letters, Chinese characters, fingerprints, etc. At present, neural networks are one of the main foundations for the establishment of artificial intelligence. In the near future, neural networks will be applied in the prediction and optimization of instant management."
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