標(biāo)題: Titlebook: Hands-on Time Series Analysis with Python; From Basics to Bleed B V Vishwas,ASHISH PATEL Book 2020 B V Vishwas and Ashish Patel 2020 Time S [打印本頁] 作者: 小客車 時(shí)間: 2025-3-21 16:08
書目名稱Hands-on Time Series Analysis with Python影響因子(影響力)
書目名稱Hands-on Time Series Analysis with Python影響因子(影響力)學(xué)科排名
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書目名稱Hands-on Time Series Analysis with Python網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Hands-on Time Series Analysis with Python被引頻次學(xué)科排名
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書目名稱Hands-on Time Series Analysis with Python讀者反饋
書目名稱Hands-on Time Series Analysis with Python讀者反饋學(xué)科排名
作者: companion 時(shí)間: 2025-3-21 22:05
discrete state measurements, the discrete event-triggered SMC is designed to guarantee the system stability. The event is detected only at periodic intervals and the control signal is updated whenever it is violated at these periodic instants. So, there is always a guaranteed lower bound for inter 作者: dyspareunia 時(shí)間: 2025-3-22 03:47 作者: 字謎游戲 時(shí)間: 2025-3-22 06:27
B V Vishwas,Ashish Patel discrete state measurements, the discrete event-triggered SMC is designed to guarantee the system stability. The event is detected only at periodic intervals and the control signal is updated whenever it is violated at these periodic instants. So, there is always a guaranteed lower bound for inter 作者: Medicare 時(shí)間: 2025-3-22 12:01
B V Vishwas,Ashish Patelo establish the existence and uniqueness of the weak or variational solution to the dynamic problem with the normal compliance contact condition. The main step is in the truncation of the nonlinear term and then establishing the necessary a priori estimates. Then, we show that when the viscosity of 作者: agonist 時(shí)間: 2025-3-22 16:35 作者: 吞噬 時(shí)間: 2025-3-22 19:38
B V Vishwas,Ashish Patelinal sliding-mode surfaces are designed for the followers. Finally, on the basis of these surfaces, sliding-mode protocols are derived. The designed protocols achieve finite-time output consensus of all the leader-follower agents. Simulations substantiate the efficacy of the proposed composite consensus control scheme.作者: 頑固 時(shí)間: 2025-3-22 23:32
Book 2020al approaches and methods of analyzing time series data and its utilization in the real world. All the code is available in Jupyter notebooks..You‘ll begin by reviewing time series fundamentals, the structure of time series data, pre-processing, and how to craft the features through data wrangling. 作者: fodlder 時(shí)間: 2025-3-23 02:07 作者: 編輯才信任 時(shí)間: 2025-3-23 07:08 作者: CHAFE 時(shí)間: 2025-3-23 10:41
B V Vishwas,Ashish Patelve assumptions we obtain also uniqueness of exact solution and a strong convergence result. Next, for the reference class of problems we apply a semi discrete Faedo-Galerkin method as well as a fully discrete one. For both methods we present a result on optimal error estimate.作者: Psychogenic 時(shí)間: 2025-3-23 14:54
Smoothing Methods,hted Moving Averages” that discussed double exponential smoothing. Three years, in 1960, a student of Holt’s, Peter R. Winters, developed an algorithm by uniting seasonality and published “Forecasting Sales by Exponentially Weighted Moving Averages” (.).作者: 罐里有戒指 時(shí)間: 2025-3-23 21:43
IMA, SARIMAX, VAR, VARMA, AUTO-ARIMA.Explains how to leveragLearn the concepts of time series from traditional to bleeding-edge techniques.? This book uses comprehensive examples to clearly illustrate?statistical approaches and methods of analyzing time series data and its utilization in the real wo作者: CANE 時(shí)間: 2025-3-24 00:50 作者: Ptosis 時(shí)間: 2025-3-24 05:54
B V Vishwas,Ashish Patelation error method. Since the considered problem is highly ill-posed, we develop a stable computational framework by employing a variety of proximal point methods and compare their performance with the more commonly used Tikhonov regularization.作者: TEM 時(shí)間: 2025-3-24 06:50
uitable conditions. Some iterative algorithms for approximating the solutions of the nonconvex variational inequality are constructed and the convergence results for the iterative sequences generated by the algorithms are also given.作者: characteristic 時(shí)間: 2025-3-24 12:50
B V Vishwas,Ashish Patelor of finite fractal dimension and existence of exponential attractor. For the second order problem, representing the frictional contact in antiplane viscoelasticity, we show that the global attractor exists, but both the global attractor and the set of stationary states are shown to have infinite fractal dimension.作者: 干涉 時(shí)間: 2025-3-24 18:40 作者: 精確 時(shí)間: 2025-3-24 19:47 作者: 外面 時(shí)間: 2025-3-25 00:09
Time-Series Characteristics, find hidden patterns and meaningful insight is called .. Time-series modeling techniques are used to understand past patterns from the data and try to forecast future horizons. These techniques and methodologies have been evolving for decades.作者: initiate 時(shí)間: 2025-3-25 06:19
Bleeding-Edge Techniques for Univariate Time Series,ivariate time-series problems using bleeding-edge techniques. A . is a time series that consists of single (scalar) observations recorded sequentially over equally spaced time periods. In this chapter, you will look at single-step time-series forecasting and horizon-style time-series forecasting.作者: chalice 時(shí)間: 2025-3-25 11:14 作者: 揭穿真相 時(shí)間: 2025-3-25 12:15 作者: novelty 時(shí)間: 2025-3-25 19:29 作者: 意見一致 時(shí)間: 2025-3-25 21:29 作者: 狗窩 時(shí)間: 2025-3-26 04:00
http://image.papertrans.cn/h/image/423997.jpg作者: 越自我 時(shí)間: 2025-3-26 07:07
system is retained. Here, event condition is continuously monitored to generate the triggering instant. So, this minimizes resource utilization and control effort while achieving certain control objective. Recently, event-triggered sliding mode control (SMC) is proposed in [., .] to ensure the robus作者: Ptsd429 時(shí)間: 2025-3-26 09:21
B V Vishwas,Ashish Patelt to both unmeasured states and mismatched disturbances. Moreover, the disturbances are allowed to be fast time-varying types. By integrating a finite-time observer technique and the nonsingular terminal sliding-mode control technique together, a feedforward-feedback composite consensus control sche作者: promote 時(shí)間: 2025-3-26 14:50 作者: Outmoded 時(shí)間: 2025-3-26 19:35
B V Vishwas,Ashish Patelsystem is retained. Here, event condition is continuously monitored to generate the triggering instant. So, this minimizes resource utilization and control effort while achieving certain control objective. Recently, event-triggered sliding mode control (SMC) is proposed in [., .] to ensure the robus作者: 歡樂中國 時(shí)間: 2025-3-26 22:03
B V Vishwas,Ashish Pateliterature on this subject includes numerous monographs and papers such as [2, 6, 9, 13, 15, 20, 30, 32], to name a few, these systems are far from being fully understood. In the present chapter, analysis tools for VSS’ are developed within the framework of methods of non-smooth Lyapunov functions wi作者: 有法律效應(yīng) 時(shí)間: 2025-3-27 02:22 作者: orthopedist 時(shí)間: 2025-3-27 08:43
B V Vishwas,Ashish Patelat may come in contact with a rigid or reactive foundation underneath it. We use a model, first developed and studied by D.Y. Gao, that allows for the buckling of the beam when the horizontal traction is sufficiently large. In contrast with the behavior of the standard Euler–Bernoulli linear beam, i作者: Offset 時(shí)間: 2025-3-27 10:48
B V Vishwas,Ashish Patelroach leads to a variational inequality as a necessary and sufficient optimality condition. We give complete convergence analysis for the proposed equation error method. Since the considered problem is highly ill-posed, we develop a stable computational framework by employing a variety of proximal p作者: GROG 時(shí)間: 2025-3-27 15:16
B V Vishwas,Ashish Patel The contact is represented by multivalued and nonmonotone boundary conditions that are expressed by means of Clarke subdifferentials of certain locally Lipschitz and semiconvex potentials. For both problems we study the existence and uniqueness of solutions as well as their asymptotic behavior in t作者: corpus-callosum 時(shí)間: 2025-3-27 20:44
point theorem and the proximal normal method, some existence and uniqueness results concerning the nonconvex variational inequality are proved under suitable conditions. Some iterative algorithms for approximating the solutions of the nonconvex variational inequality are constructed and the converge作者: arcane 時(shí)間: 2025-3-27 21:56 作者: 先驅(qū) 時(shí)間: 2025-3-28 03:36
Smoothing Methods,atterns. Robert Goodell Brown was the father of exponential smoothing, and in 1956 he published “Exponential Smoothing for Predicting Demand” (.). In 1957, professor Charles C. Holt was working at CMU on forecasting and published a paper called “Forecasting Seasonals and Trends by Exponentially Weig作者: 現(xiàn)代 時(shí)間: 2025-3-28 06:34
Regression Extension Techniques for Time-Series Data,in machine learning where you try to estimate target variables using one or multiple regressors. In this chapter, you will learn what . means in time-series data as well as how to make data stationery, how to interpret p-values, and how to test whether a series is stationary. Finally, we’ll explore 作者: Confess 時(shí)間: 2025-3-28 11:51
Bleeding-Edge Techniques,time-series models using deep learning (covered in Chapters 6 and 7). In this chapter, we’ll start with an introduction to neural networks by reviewing perceptrons, activation functions, backpropagation, types of gradient descent, recurrent neural networks, long short-term memory, gated recurrent un作者: Introduction 時(shí)間: 2025-3-28 17:11
Bleeding-Edge Techniques for Univariate Time Series,ivariate time-series problems using bleeding-edge techniques. A . is a time series that consists of single (scalar) observations recorded sequentially over equally spaced time periods. In this chapter, you will look at single-step time-series forecasting and horizon-style time-series forecasting.作者: 神經(jīng) 時(shí)間: 2025-3-28 22:49