Production and application of technical surfaces have a great importance in industry. Prediction of the surface quality or selection of the appropiate machining would be useful for both of the costumer and the producer. Two different methods are introduced in this paper for providing simple tools of the production of the required surface. Application of neural network and neuro-fuzzy methods can help to solve the aforementioned problem. The common result of the two parallel research is learning more about the surface production. These research were carried out with strong student assistance
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