Neural network technology mimics the brain’s own problem solving process. Just as humans apply knowledge gained from past experience to new problems or situations, a neural network takes previously solved examples to build a system of “neurons” that makes new decisions, classifications, and forecasts.
Neural networks look for patterns in training sets of data, learn these patterns, and develop the ability to correctly classify new patterns or to make forecasts and predictions. Neural networks excel at problem diagnosis, decision making, prediction, classification, and other problems where pattern recognition is important and precise computational answers are not required.
Topics of Interest:
What Type of Problems do Neural Networks Solve?
What is Training Data?
Network Structure
How Does a Neural Network Learn?
Advanced Users
Neural Network – Output Discussion
Neural Network – Input Discussion
Neural Network – Network Criteria Discussion
Neural Network – Results Discussion
References