OPTIMISATION OF MILLING PARAMETERS USING NEURAL NETWORK

Optimisation of milling parameters using neural network

The Wigs purpose of this study was to design and test an intelligent computer software developed with the purpose of increasing average productivity of milling not compromising the design features of the final product.The developed system generates optimal milling parameters based on the extent of tool wear.The introduced optimisation algorithm emp

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The effect of natural and human-induced habitat conditions on number of roe deer: case study of Vojvodina, Serbia

Roe deer (Capreolus capreolus L.) have greatly expanded in both distribution and abundance during the last few decades, and are the most abundant cervids in Europe today.The aim of this paper is to determine the factors that have the most considerable impact on roe deer numbers in Tanks/Jerseys the Vojvodina region (North Serbia).Environmental (are

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