A Comprehensive GRNN Model for the Prediction of Cutting Force, Surface Roughness and Tool Wear During Turning of CP-Ti Grade 2
Sign Up to like & getrecommendations! Published in 2018 at "Silicon"
DOI: 10.1007/s12633-017-9749-0
Abstract: Titanium alloys are most widely used in aerospace, military, marine, medical and bio-medical industries because of their unique properties such as high corrosion resistance, biocompatibility, superior strength-to-weight ratio and ability to withstand at elevated temperatures.… read more here.
Keywords: surface roughness; grnn model; tool; model ... See more keywords
Prediction of chemical toxicity to Tetrahymena pyriformis with four-descriptor models.
Sign Up to like & getrecommendations! Published in 2020 at "Ecotoxicology and environmental safety"
DOI: 10.1016/j.ecoenv.2019.110146
Abstract: A quantitative structure-toxicity relationship (QSTR) model based on four descriptors was successfully developed for 1163 chemical toxicants against Tetrahymena pyriformis by applying general regression neural network (GRNN). The training set consisting of 600 organic compounds… read more here.
Keywords: tetrahymena pyriformis; test set; grnn model; toxicity ... See more keywords