Neural networks as performance improvement models in intelligent CAPP systems

• Autorzy: Rojek I.
• Języki publikacji: EN

Abstrakty

EN

The paper presents neural networks as performance improvement models in intelligent computer aided process planning systems (CAPP systems). For construction of these models three types of neural networks were used: linear network, multi-layer network with error backpropagation, and the Radial Basis Function network (RBF). The models were compared. Due to the comparison, we can say which type of neural network is the best for selection of tools for manufacturing operations. Tool selection for manufacturing operation is a classification problem. Hence, neural networks were built as classification models, meant to improve tool selection for manufacturing. The study was done for selected manufacturing operations: turning, milling and grinding. Models for the milling operation were presented in detail.

Słowa kluczowe

EN

classification model; neural network; tool; manufacturing operation

• Wydawca: Systems Research Institute, Polish Academy of Sciences
• Czasopismo: Control and Cybernetics
• Rocznik: 2010
• Tom: Vol. 39, no 1
• Strony: 54--68
• Opis fizyczny: Bibliogr. 22 poz., wykr.

Twórcy

autor

Rojek I.

• Kazimierz Wielki University in Bydgoszcz, Institute of Mechanics and Applied Computer Science, Bydgoszcz, Poland,

Bibliografia

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