Amanote Research

Amanote Research

    RegisterSign In

Use of Neural Networks in Tool Wear Prediction

MATEC Web of Conferences - France
doi 10.1051/matecconf/201929904003
Full Text
Open PDF
Abstract

Available in full text

Categories
Materials ScienceEngineeringChemistry
Date

January 1, 2019

Authors
Juraj KundríkMarek KočiškoMartin PollákMonika TeliškováAnna BašistováZdeněk Fiala
Publisher

EDP Sciences


Related search

Prediction of Hourly Heating Energy Use for Hvac Using Feedforward Neural Networks

2017English

Artificial Neural Networks for Prediction

English

Inputs and Outputs of Neural Networks in Identification of Wear Debris.

Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Mechanics of MaterialsIndustrialMechanical EngineeringManufacturing Engineering
1997English

Prediction of Wear Behavior in Porous Sintered Steels: Artificial Neural Network Approach

Powder Metallurgy Progress
Mechanics of MaterialsAlloysMetals
2018English

CTR Prediction With Deep Neural Networks

Journal of Engineering and Applied Sciences
Engineering
2020English

Prediction of Surface Distress Using Neural Networks

2017English

Level Crossing Prediction With Neural Networks

Methodology and Computing in Applied Probability
MathematicsStatisticsProbability
2009English

Artificial Neural Networks in Prediction and Predictive Control

2008English

Evaluation of Artificial Neural Networks in Prediction of Essential Hypertension

International Journal of Computer Applications
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy