Artificial Neural Networks in Machine Learning

Abstract: Artificial Neural Networks are similar to human brain which are classified by the machine learning algorithms. It works similarly like brain. The brain will recall all the information in past through the neurons in the nervous system, similarly, ANN also recall the data by the inputs and respond through classifications and predictions. To produce a new pattern, ANN builds a relationship between inputs and outputs through examples of data sets. ANN main advantage is to provide outputs it takes sample data from the data set.

Keywords: Artificial Neural Network, Human Brain, Nervous System, input, output and feedback