Artificial neural network

Artificial neural network (ANN) is formed using a large number of elements known as neurons, where each neuron takes simple decisions and passes those decisions to other neurons. All the neurons are interconnected to each other, where the interconnection between these neurons is known as network function. A shallow neural network has three layers: input layer, hidden layer and output layer. Layer is the processing element of a subgroup; input layer is the first layer, and output layer is the last layer. There are many layers between the input and output layers known as hidden layers. Unsupervised ANN is also known as self-​organizing map. In this network only input layers are provided, where the network needs to develop its own input incentives, so by self-​organization one can collect all the input data and find the features inherent of the problem.