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Artificial neural networks are connection systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains.it is a framework for many different machine learning algorithms to work together and process complex data inputs. Artificial neural networks have been used on a variety of tasks, including computer vision, speech recognition, machine translation, social network filtering, playing board and video games and medical diagnosis.
An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal from one artificial neuron to another. An artificial neuron that receives a signal can process it and then signal additional artificial neurons connected to it
Neurophysiology and Rehabilitation emphasize in publishing the original scholarly articles related to Neurology and Rehabilitation worldwide. The journal follows rapid review process with the Eminent Editorial Board
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