World Journal of Engineering and Technology

World Journal of Engineering and Technology

ISSN Print: 2331-4222
ISSN Online: 2331-4249
www.scirp.org/journal/wjet
E-mail: wjet@scirp.org
"CNC Thermal Compensation Based on Mind Evolutionary Algorithm Optimized BP Neural Network"
written by Yuefang Zhao, Xiaohong Ren, Yang Hu, Jin Wang, Xuemei Bao,
published by World Journal of Engineering and Technology, Vol.4 No.1, 2016
has been cited by the following article(s):
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[1] Artificial intelligence algorithms for predicting peak shear strength of clayey soil-geomembrane interfaces and experimental validation
Geotextiles and …, 2023
[2] Construction of Psychological Evaluation System for Coal Mine Rescue Workers Based on BP Neural Network Algorithm
International Conference On Signal And Information …, 2022
[3] Predicting stress-dependent gas permeability of cement mortar with different relative moisture contents based on hybrid ensemble artificial intelligence algorithms
… and Building Materials, 2022
[4] Communication Fault Diagnosis Algorithm Based on BP Neural Network
2021 3rd International Conference on Intelligent …, 2021
[5] A Support Vector Machine Model with Hyperparameters Optimised by Mind Evolutionary Algorithm for Assessing Permeability of Rock
2020
[6] First Effort at Constructing a High-Density Photosynthetically Active Radiation Dataset during 1961–2014 in China
2019
[7] Key point selection in large-scale FBG temperature sensors for thermal error modeling of heavy-duty CNC machine tools
2019
[8] Short-term Traffic Flow Prediction Model of Wavelet Neural Network Based on Mind Evolutionary Algorithm
International Journal of Pattern Recognition and Artificial Intelligence, 2018
[9] A Combined Gravity Compensation Method for INS Using the Simplified Gravity Model and Gravity Database
Sensors, 2018
[10] A Prediction Approach on Energy Consumption for Public Buildings Using Mind Evolutionary Algorithm and BP Neural Network
2018
[11] An improved gravity compensation method for high-precision free-INS based on MEC–BP–AdaBoost
Measurement Science and Technology, 2016
[12] Establishment and simulation of RMEA-WNN-LSTM model for short-term traffic Flow Prediction
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