ANN is modeled on the brain where neurons are connected in complex patterns to process data from the senses, establish memories and control the body. ANN process data and exhibit some intelligent behaviors like learning, generalization and pattern recognition.
3.2 BENEFITS OF ANNs IN ARTIFICIAL INTELLIGENCE
ANNs forms an important aspect in the field of Artificial intelligence and are very much involved in so many exciting applications of AI. The benefit of ANNs in Artificial Intelligence includes:
1. Backpropagation Nets
Backpropagation nets learn to generalize and classify patterns. When they are presented with a pattern, the interconnections between the artificial neurons are adjusted until they give a correct response. Backpropagation nets are the most common kind of ANN (Mano, 2014). The basic topology is that layers of neurons are connected to each other. Patterns cause information to flow in one direction, then the errors "backpropagate" in the other direction, changing the strength of the interconnections between layers (Mano,