Evaluation of Artificial Neural Networks

Artificial Neural Networks are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons). Artificial neural networks may either be used to gain an understanding of biological neural networks, or for solving artificial intelligence problems without necessarily creating a model of a real biological system. Artificial Neural Network has been shown to be an efficient tool for non-parametric modeling of data in a variety of different context where the output is non-linear function of prediction, medicines, pattern recognition and image processing.

Provided by: International Journal of Engineering Research & Technology (IJERT) Topic: Software Date Added: Sep 2012 Format: PDF

Find By Topic