Algorithm of Back Propagation Network Implementation in Vhdl

A neural network is a powerful data-modeling tool that is able to capture and represent complex input/output relationships. The motivation for the development of neural network technology stemmed from the desire to develop an artificial system that could perform “intelligent” tasks similar to those performed by the human brain. An Artificial neural network (ANN), also called a simulated neural network (SNN) or commonly just neural network (NN) is an interconnected group of artificial neurons that uses a mathematical or computational model for information processing. In most cases ANN is an adaptive system that changes its structure based on internal or external information that flows through the network. Minsky and Papert (1969) showed that there are many simple problems such as the exclusive-or problem which linear neural networks can not solve. Note that term “solve” means learn the desired associative links. Argument is that if such networks can not solve such simple problems how they could solve complex problems in vision, language, and motor control.