Back propagation Algorithm To Solve The classifying Glass Data Problem
How It Works
In a variety of fields, researchers (inspired by bioinformatics research area) are applying neural network models to solve problems that so far have not been solvable using early architectures or models. The aim of the project is to perform an improvement study of Neural Network models available for classification, a Multi Layer Perception feed forward trained by Back propagation algorithm to solve the classifying glass data problem.
July 11, 2007
Classification, Multi-Layer Perception, Back propagation, glass dataset