Main Article Content
Abstract
More application often used pattern classification approach. Neural network is one of
some methods that very powerful to solve that problem. In this paper, we will use
probabilistic net to solve classification of quality products problem. Let a company wants to
clasified quality of its products. The first quality is Good, second quality is Fair, and third
quality is Poor. This probabilistic net trained with 27 data training, and the result of this
training used to identify another 20 data. The result of checking for data training show that
100% accuracy. The result of testing for another 20 data show that 8 products in Good
quality, 7 products in Fair quality, and 5 products in Poor quality.
Keywords: probabilistic net, classification.
some methods that very powerful to solve that problem. In this paper, we will use
probabilistic net to solve classification of quality products problem. Let a company wants to
clasified quality of its products. The first quality is Good, second quality is Fair, and third
quality is Poor. This probabilistic net trained with 27 data training, and the result of this
training used to identify another 20 data. The result of checking for data training show that
100% accuracy. The result of testing for another 20 data show that 8 products in Good
quality, 7 products in Fair quality, and 5 products in Poor quality.
Keywords: probabilistic net, classification.