Basic Study of Neural Networks

Human's central nervous system inspired the concept of neural networks. In an Artificial Neural Network, simple artificial nodes, known as neurons, neurodes, processing elements or units, are connected together to form a network which are similar to a biological neural network. There is no single formal definition of what is an artificial neural network. Neural networks consist of sets of adaptive weights, i. e. numerical parameters that are tuned by a learning algorithm, and are capable of approximating non-linear functions of their inputs. In modern software implementations of artificial neural networks, the approach inspired by biology has been largely abandoned for a more practical approach based on statistics and signal processing. Here we also discuss about advantages, limitations and applications of neural networks.