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Research article

First published 2007-11

Back propagation neural network based modeling of multi-responses of an electrical discharge machining process

Debabrata Mandal, Surjya K. Pal, Partha Saha

International Journal of Knowledge-Based and Intelligent Engineering Systems

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Research article

First published 2007-3

Back propagation neural network based modeling of multi-response of an electrical discharge machining process

Debabrata Mandal, Surjya K. Pal, Partha Saha

International Journal of Knowledge-Based and Intelligent Engineering Systems

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Research article

First published 2018-8

A self-learning propotional–integral–derivative control of grouting pressure using the back-propagation model

Fengling Li, Zhixiang Hou, Juan Chen

Proceedings of the Institution of Mechanical Engineers,Part I: Journal of Systems and Control Engineering

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Review article

First published 2020-11

Establishing a Genetic Algorithm-Back Propagation model to predict the pressure of girdles and to determine the model function

Zhou Jie, Ma Qiurui

Textile Research Journal

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Research article

First published 2019-3

Predicting the grinding force of titanium matrix composites using the genetic algorithm optimizing back-propagation neural network model

Huan Zhou, Wen-Feng Ding, Zheng Li [...]

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Research article

First published 2015-9

Rotating Machine Fault Diagnosis Based on Locality Preserving Projection and Back Propagation Neural Network–Support Vector Machine Model

Shaojiang Dong, Xiangyang Xu, Juan Liu [...]

Measurement and Control

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Research article

First published 2019-06

Midterm Power Load Forecasting Model Based on Kernel Principal Component Analysis and Back Propagation Neural Network with Particle Swarm Optimization

Zhao Liu, Xincheng Sun, Shuai Wang [...]

Big Data

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Research article

First published 2019-6

Quantitative Analysis of Carbon with Laser-Induced Breakdown Spectroscopy (LIBS) Using Genetic Algorithm and Back Propagation Neural Network Models

Jiao He, Congyuan Pan, Yongbin Liu [...]

Applied Spectroscopy

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Research article

First published 2015-11

Bayesian Regularized Back-Propagation Neural Network Model for Chlorophyll-a Prediction: A Case Study in Meiliang Bay,Lake Taihu

Hailong Gao, Xin Qian, Ruibin Zhang [...]

Environmental Engineering Science

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Research article

First published 2022-6

A study of using back-propagation neural model in automatic lubrication installation for the feeding system of computer numerical control machine tool

Shao-Hsien Chen, Zih-Jing Haung

Proceedings of the Institution of Mechanical Engineers,Part J: Journal of Engineering Tribology

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