Artifical Neural Network

Artificial Neural Network is a computational model based on the structure and functions of biological neural networks. Information that flows through the network affects the a neural network changes or learns, based on that input and output. So the point is to create a computational system that could solve problems like a human brain. The Neural Networks was founded by Warren McCulloch and Walter Pitts in 1943. Then it was upgraded with AI (Artificial Intelligence) in 1975 by Kunijiko Fukushima called Artificial Neural Network (ANN)

Warren McCulloch and Walter Pitts

Today Neural Networks are important in information age, because help society to solve complex problems in real life condition. They can learn from model the relationships between inputs and outputs that are nonlinear and complex; make generalizations and inferences; reveal hidden relationships, patterns and predictions (such as financial time series data) and variances needed to predict rare events (such as fraud detection). According from SAS (2018) “As a result, neural networks can improve decision processes in areas such as; Credit card, Medicare fraud detection, Optimization of logistics for transportation networks, Character voice recognition, also known as natural language processing and Medical disease diagnosis.” Speaking about the Artificial Network Neural, I should say that is the most futuristic technology based on that input and output in Biological Process like human brain.