OPTIMISATION OF MILLING PARAMETERS USING NEURAL NETWORK

Optimisation of milling parameters using neural network

The 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 employs

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ULTRASONOGRAFI UNTUK PREDIKSI LASERASI PARENKIM GINJAL DAN HEMATOMA PERIRENAL PADA PASIEN TRAUMA TUMPUL ABDOMEN DENGAN KECURIGAAN TRAUMA GINJAL

Objective: To evaluate the sensitivity and the specificity of the ultrasound in predicting renal parenchyma laceration and perirenal hematoma in patients with abdominal blunt trauma with suspicion of renal trauma, as confirmed by operative findings in the explorative laparotomy.Material & methods: From March 2005 to March 2006, we found 28 patients

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