Artifical neural networks and a cost forecasting application in an enterprise

SUMMARY Artificial Neural Networks and A Cost Forecasting Application In An Enterprise Keywords : Artificial Intelligence, Artificial Neural Networks, Back Propagation, Cost Forecasting Nowadays, the one of sections which are studied about is Artificial Neural Network (ANN) Models. ANN researchs are related to most field like optimisation, control, image processing, meaning and seperating language, natural language and forecasting. The inspiration of the ANNs is the power, elasticity and sensitivity of the Biological Brain. ANN is the Mathematical Model of the nerve cells, sinaps and dentrits which are the main biological components of the Brain. ANN is formed from simple mathematical elements. There are two kinds of learning processes in ANN; supervised and unsupervised. In the supervised learning process, the output set necessary for each input set, and both of them form the learning set. Usually, learning is used to realize by introduced to these pairs (input/output sets) to ANN. In the learning process, firstly, the input sets are given to ANN, and the output of them are computed. Afterwards, ANN change the weights, until the desired convergence criteria level between the computed outputs and the real outputs is proved. As a result, ANN is trained and the weights at the most suitable values. In this study, An Artificial Intelligence, Structure of the ANN, Components of the ANN, Types of the ANN and Learning Strategies were described. And an application was carrioud out within context of Cost/Production Quantity relation in the TOPRAK SA?LIK ÜRÜNLERİ factory. IX