Activation functions selection for BP neural network model of ground surface roughness
出版年份 2020 全文链接
标题
Activation functions selection for BP neural network model of ground surface roughness
作者
关键词
-
出版物
JOURNAL OF INTELLIGENT MANUFACTURING
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-01-31
DOI
10.1007/s10845-020-01538-5
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Research on the matching relationship between ultrasonic-assisted grinding parameters and workpiece surface roughness
- (2019) Siyuan Sun et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Mechanism and Parameter Optimization in Grinding and Polishing of M300 Steel by an Elastic Abrasive
- (2019) Xin Tong et al. Materials
- Experimental study of newly structural design grinding wheel considering response surface optimization and Monte Carlo simulation
- (2019) Mehmet Fatih Kahraman et al. MEASUREMENT
- Surface topography and roughness of silicon carbide ceramic matrix composites
- (2018) Shuoshuo Qu et al. CERAMICS INTERNATIONAL
- Modeling and simulation of the distribution of undeformed chip thicknesses in surface grinding
- (2018) Yuzhou Zhang et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- A novel type of activation function in artificial neural networks: Trained activation function
- (2018) Ömer Faruk Ertuğrul NEURAL NETWORKS
- Application of compressed air in the online monitoring of surface roughness and grinding wheel wear when grinding Ti-6Al-4V titanium alloy
- (2018) Shaohui Yin et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Material removal mechanism of laser-assisted grinding of RB-SiC ceramics and process optimization
- (2018) Zhipeng Li et al. JOURNAL OF THE EUROPEAN CERAMIC SOCIETY
- Modelling of surface roughness and grinding forces using artificial neural networks with assessment of the ability to data generalisation
- (2017) D. Lipiński et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Grinding performance of textured monolayer CBN wheels: Undeformed chip thickness nonuniformity modeling and ground surface topography prediction
- (2017) Wenfeng Ding et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Prediction of high-speed grinding temperature of titanium matrix composites using BP neural network based on PSO algorithm
- (2016) Chaojie Liu et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Working parameter optimization of strengthen waterjet grinding with the orthogonal-experiment-design-based ANFIS
- (2016) Zhongwei Liang et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Indirect model for roughness in rough honing processes based on artificial neural networks
- (2016) Maurici Sivatte-Adroer et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- Surface roughness prediction using Taguchi-fuzzy logic-neural network analysis for CNT nanofluids based grinding process
- (2014) S. Prabhu et al. NEURAL COMPUTING & APPLICATIONS
- Artificial neural network modeling for surface roughness prediction in cylindrical grinding of Al-SiCp metal matrix composites and ANOVA analysis
- (2014) M. Chandrasekaran et al. Advances in Production Engineering & Management
- 2D/3D ground surface topography modeling considering dressing and wear effects in grinding process
- (2013) J.L. Jiang et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting
- (2013) Chao Ren et al. KNOWLEDGE-BASED SYSTEMS
- 3D metal removal simulation to determine uncut chip thickness, contact length, and surface finish in grinding
- (2012) Abdalslam Darafon et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Predictive modeling of undeformed chip thickness in ceramic grinding
- (2012) Sanjay Agarwal et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Determining the optimum process parameter for grinding operations using robust process
- (2012) Süleyman Neşeli et al. Journal of Mechanical Science and Technology
- Modeling and prediction of surface roughness in ceramic grinding
- (2010) Sanjay Agarwal et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- A hybrid model using genetic algorithm and neural network for process parameters optimization in NC camshaft grinding
- (2009) Z H Deng et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Creep feed grinding optimization by an integrated GA-NN system
- (2009) M. Sedighi et al. JOURNAL OF INTELLIGENT MANUFACTURING
- The performance of the backpropagation algorithm with varying slope of the activation function
- (2007) Yanping Bai et al. CHAOS SOLITONS & FRACTALS
- A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming
- (2007) Qingshan Liu et al. NEURAL COMPUTATION
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started