Personnaz, "Black-box modeling with state-space neural networks," in Neural Adaptive Control Technology, R. Zbikowski and K. J. Hunt, Eds. Singapore: World Scientific, 1996, pp. 237-264.I. Rivals, L. Personnaz. Black-box modeling with state- space neural networks . In Neural Adaptive ...
However, this approach can be extended to any structure due to the application of black box modeling, which does not require knowledge of the structure or the modifications provided by the manufacturer. With this approach, the SVR simulation results can be used to tune the PID algorithms in ...
box in 特异型制品装窑法,加边框线 modeling n. 【计】建模 petromodel 岩石模式 modelly adj. 模特儿似的,具有模特儿特点的 metamodel n.元模型 modelling n. 模型制造;塑造术 最新单词 effective separation factor的中文释义 有效分离系数 effective sensitivity的中文解释 有效灵敏度 effective select...
Based on polynomial interpolation and approximation theory, a novel feed-forward neural network, the feed-forward neural network with Chebyshev orthogonal basis function, is proposed for black-box modeling of ship manoeuvring motion. The neural model adopts a three-layer structure, in which the hidden...
MadRadar: A Black-Box Physical Layer Attack Framework on mmWave Automotive FMCW Radars Frequency modulated continuous wave (FMCW) millimeter-wave (mmWave) radars play a critical role in many of the advanced driver assistance systems (ADAS) fe... D Hunt,K Angell,Z Qi,... 被引量: 0发表: ...
Design of metabolic network with the white-box approach After the modeling phase using the black-box method approach, we focused on the white-box approach and designed mechanistic models with COPASI. The first COPASI model we used was that of Moreno-Sanchez8; although it was created in GEPASI...
A novel method for the black-box modeling of ship maneuvering motion is proposed. The identification method is based on Gaussian progress regression (GPR),... SY Liu,ZL Ouyang,ZZJ Zou - 《International Journal of Offshore & Polar Engineering》 被引量: 0发表: 2023年 Black-box modeling of ...
A black box model is a complex algorithm or system that takes in inputs and produces outputs without revealing the internal workings or mechanisms. These models are frequently used in finance to analyze and predict market trends, assess risk, and make investment decisions. ...
Some Aspects of Nonlinear Black-Box Modeling in System IdentificationThe key problem in system identification is to find a suitable model structure, within which a good model is to be found. Fitting a model within a given structure (parameter estimation) is in most cases a lesser problem. A ...
Gunay, H. BurakShen, WeimingYang, ChunshengScience and Technology for the Built EnvironmentGunay, H., B.W. Shen, and C. Yang. 2018. Blackbox modeling of central heating and cooling plant equipment performance. Science and Technology for the Built Environment 24:396-409. DOI:10.1080/...