Article Details

How do Artificial Neural Networks Work | Original Article

Aryan Rose*, in Journal of Advances in Science and Technology | Science & Technology


Artificial Neural Networks (ANNs) are computer models inspired by the structure and operation of the human brain. They comprise of linked nodes, called neurons, grouped in layers. Information passes across these neurons, and each connection between neurons is connected with a weight denoting its significance. The network's learning process includes altering these weights depending on input data to increase its capacity to generate correct predictions or classifications. During training, the network compares its output to the intended output, computes the error, and then applies optimization methods to reduce this error. Once trained, ANNs may be used for numerous tasks, including as image identification, natural language processing, and decision-making, making them a formidable tool in the area of artificial intelligence.