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Modeling texture of peripheral milled surfaces using integrated neural network, spline, and fractal methods with an analysis of nonlinear process dynamics.

机译：使用集成的神经网络，样条和分形方法对外围铣削表面的纹理进行建模，并分析非线性过程动力学。

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作者
Stark, Gregory Alan.;
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作者单位

Michigan Technological University.;

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授予单位 Michigan Technological University.;
学科 Mechanical engineering.;Electrical engineering.;Industrial engineering.
学位 Ph.D.
年度 1998
页码 244 p.
总页数 244
原文格式 PDF
正文语种 eng
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专利

1. Modeling surface texture in the peripheral milling process using neural network, spline, and fractal methods with evidence of chaos [J] . G. A. Stark, K. S. Moon Journal of manufacturing science and engineering: Transactions of the ASME . 1999,第2期

机译：使用神经网络，样条和分形方法对外围铣削过程中的表面纹理进行建模，并证明存在混乱
2. Texture analysis of self-structured surfaces in formation process using directional fractal signature method [J] . M. Wolski, P. Podsiadlo, G. W. Stachowiak Proceedings of the Institution of Mechanical Engineers, Part J. Journal of engineering tribology . 2014,第10期

机译：方向分形特征法分析自结构表面在形成过程中的纹理
3. Analysis of the effect of a new process control agent technique on the mechanical milling process using a neural network model: Measurement and modeling [J] . Aykut Canakci, Temel Varol, Sukru Ozsahin Measurement . 2013,第6期

机译：使用神经网络模型分析新的过程控制代理技术对机械铣削过程的影响：测量和建模
4. Modeling texture of peripheral-milled surfaces using a neural network and fractal method with evidence of chaos [C] . G. A. Stark, K. S. Moon ASME International Mechanical Engineering Congress and Exposition . 1998

机译：使用神经网络和混沌证据模拟外围铣削表面的纹理
5. Fractal models in the visual perception of textures and surfaces in nature. [D] . Marchak, Frank M. 1987

机译：在自然界中纹理和表面的视觉感知中的分形模型。
6. Lactation milk yield prediction in primiparous cows on a farm using the seasonal auto-regressive integrated moving average model nonlinear autoregressive exogenous artificial neural networks and Wood’s model [O] . Wilhelm Grzesiak, Daniel Zaborski, Iwona Szatkowska, 2021

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7. Modeling and Sensitivity Analysis of the Forward Osmosis Process to Predict Membrane Flux Using a Novel Combination of Neural Network and Response Surface Methodology Techniques [O] . Jasir Jawad, Alaa Hawari, Syed Zaidi 2021

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8. Nonlinear Signal Processing Using Neural Networks: Prediction and System Modelling [R] . Lapedes, A., Farber, R. 1987

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Modeling texture of peripheral milled surfaces using integrated neural network, spline, and fractal methods with an analysis of nonlinear process dynamics.

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