標題: Titlebook: Data-Driven Modeling: Using MATLAB? in Water Resources and Environmental Engineering; Shahab Araghinejad Textbook 2014 Springer Science+Bu [打印本頁] 作者: Coarse 時間: 2025-3-21 16:09
書目名稱Data-Driven Modeling: Using MATLAB? in Water Resources and Environmental Engineering影響因子(影響力)
書目名稱Data-Driven Modeling: Using MATLAB? in Water Resources and Environmental Engineering影響因子(影響力)學科排名
書目名稱Data-Driven Modeling: Using MATLAB? in Water Resources and Environmental Engineering網(wǎng)絡(luò)公開度
書目名稱Data-Driven Modeling: Using MATLAB? in Water Resources and Environmental Engineering網(wǎng)絡(luò)公開度學科排名
書目名稱Data-Driven Modeling: Using MATLAB? in Water Resources and Environmental Engineering被引頻次
書目名稱Data-Driven Modeling: Using MATLAB? in Water Resources and Environmental Engineering被引頻次學科排名
書目名稱Data-Driven Modeling: Using MATLAB? in Water Resources and Environmental Engineering年度引用
書目名稱Data-Driven Modeling: Using MATLAB? in Water Resources and Environmental Engineering年度引用學科排名
書目名稱Data-Driven Modeling: Using MATLAB? in Water Resources and Environmental Engineering讀者反饋
書目名稱Data-Driven Modeling: Using MATLAB? in Water Resources and Environmental Engineering讀者反饋學科排名
作者: 伸展 時間: 2025-3-21 21:29
Basic Statistics,mathematical models, . is described by the probability theory using probability distribution function (.). Regarding the type of a random variable which might be discrete or continuous, it is defined by two types of discrete and continuous .s. Discrete distribution functions of ., ., and . are revie作者: EVICT 時間: 2025-3-22 03:11 作者: 細微的差異 時間: 2025-3-22 06:00 作者: 衰弱的心 時間: 2025-3-22 10:29
Artificial Neural Networks, relationship between neurons in different layers. Neuron is a mathematical unit, and an artificial neural network that consists of neurons is a complex and nonlinear system. Artificial neural networks (ANNs) may have different architectures which result in different types of ANNs. A static ANN know作者: collateral 時間: 2025-3-22 16:16 作者: collateral 時間: 2025-3-22 20:56 作者: Vulnerary 時間: 2025-3-22 22:09
Hybrid Models and Multi-model Data Fusion,i-model ensemble estimations are applied to increase accuracy and precision of single models. To get an idea about how different models could be combined in a way to increase each other’s abilities, the chapter begins with a summary on the characteristics of the models presented in the previous chap作者: 畸形 時間: 2025-3-23 04:52 作者: 同時發(fā)生 時間: 2025-3-23 06:09
https://doi.org/10.1007/978-3-030-12068-9ce systems, and fuzzy regression are the main subjects which are presented in this chapter. Obviously, the related useful MATLAB commands are presented and discussed to support the methods of applied modeling of the presented subjects.作者: 新手 時間: 2025-3-23 12:11
Silvia Zorzetto,Francesco Ferraroeral techniques of multi-model data fusion. The approach of multi-model data fusion contains an important process of individual model generation which is going to be discussed in the last section of the chapter.作者: 我沒有命令 時間: 2025-3-23 16:03
Regression-Based Models,model, conventional nonlinear regression models, K-nearest neighbor nonparametric model, and logistic regression model are presented in different sections of this chapter. Each model is supported by related commands and programs provided in ..作者: 直言不諱 時間: 2025-3-23 18:22 作者: 尊嚴 時間: 2025-3-23 23:13 作者: lactic 時間: 2025-3-24 02:21
Support Vector Machines,empirical risk minimization principle used by conventional neural networks. This chapter presents principles of classification and regression analysis by support vector machines, briefly. Also related MATLAB programs are presented.作者: mutineer 時間: 2025-3-24 08:42
Silvia Zorzetto,Francesco Ferraroempirical risk minimization principle used by conventional neural networks. This chapter presents principles of classification and regression analysis by support vector machines, briefly. Also related MATLAB programs are presented.作者: MAL 時間: 2025-3-24 11:12 作者: 稀釋前 時間: 2025-3-24 18:17
0921-092X ommon problems in water resources and environmental engineer.“Data-Driven Modeling: Using MATLAB? in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more ac作者: Intruder 時間: 2025-3-24 21:03
Data-Driven Modeling: Using MATLAB? in Water Resources and Environmental Engineering作者: Nerve-Block 時間: 2025-3-24 23:58
Joseph D. Novak,Alberto J. Ca?asup so are significantly cheaper. Also, in contrast to the analytical models, data-driven models can be used for the problems where we do not have enough knowledge about the intrinsic complexity of the phenomena. This chapter presents a brief review of different types of models that could be used for作者: 來這真柔軟 時間: 2025-3-25 06:32
Joseph D. Novak,Alberto J. Ca?aspothetical tests follow a general approach while that approach should be adapted for specific problems by defining appropriate statistical and critical values. The tests on the statistical parameters of populations are reviewed in this chapter. Furthermore, two famous tests of . and . are presented 作者: BOON 時間: 2025-3-25 07:34
Research in Mathematics Educationmodeling: forecasting and synthetic data generation. This chapter reviews the basic mathematical representation as well as the applicable fields of the well-known time series models. In addition to the time series analysis, different models and applications are presented by different programs develo作者: intertwine 時間: 2025-3-25 15:26 作者: conjunctiva 時間: 2025-3-25 16:25
Textbook 2014nce techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques.???.The source files of relatively simple and作者: 易彎曲 時間: 2025-3-25 23:58 作者: glowing 時間: 2025-3-26 03:05
Basic Statistics,pothetical tests follow a general approach while that approach should be adapted for specific problems by defining appropriate statistical and critical values. The tests on the statistical parameters of populations are reviewed in this chapter. Furthermore, two famous tests of . and . are presented 作者: 態(tài)學 時間: 2025-3-26 06:43
Time Series Modeling,modeling: forecasting and synthetic data generation. This chapter reviews the basic mathematical representation as well as the applicable fields of the well-known time series models. In addition to the time series analysis, different models and applications are presented by different programs develo作者: delusion 時間: 2025-3-26 10:07 作者: installment 時間: 2025-3-26 15:54
0921-092X fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques.???.The source files of relatively simple and978-94-024-0589-7978-94-007-7506-0Series ISSN 0921-092X Series E-ISSN 1872-4663 作者: 信徒 時間: 2025-3-26 19:33
Shahab AraghinejadDesigned as a textbook.Over fourty source codes applied to be developed with MATLAB are provided.Additional illustrative examples treating common problems in water resources and environmental engineer作者: 光亮 時間: 2025-3-27 00:18 作者: Original 時間: 2025-3-27 03:31 作者: 費解 時間: 2025-3-27 07:58 作者: 符合規(guī)定 時間: 2025-3-27 10:52 作者: Muffle 時間: 2025-3-27 14:35
Joseph D. Novak,Alberto J. Ca?as impact analysis of development scenarios are of significant importance in case of the changing environment. Considering the complexity of natural phenomena as well as our limited knowledge of mathematical modeling, this might be a challenging problem. Recently, development of data-driven models has作者: 壓迫 時間: 2025-3-27 17:48
Joseph D. Novak,Alberto J. Ca?asmathematical models, . is described by the probability theory using probability distribution function (.). Regarding the type of a random variable which might be discrete or continuous, it is defined by two types of discrete and continuous .s. Discrete distribution functions of ., ., and . are revie作者: 知識分子 時間: 2025-3-27 23:52 作者: indicate 時間: 2025-3-28 03:42
Research in Mathematics Educationed methods are used to model and forecast time series data such as autoregressive (AR) and autoregressive moving average (ARMA) models, autoregressive integrated moving average (ARIMA) model, and autoregressive moving average with exogenous (ARMAX) data. Time series modeling involves techniques that作者: 無可非議 時間: 2025-3-28 09:16
https://doi.org/10.1007/978-3-030-80008-6 relationship between neurons in different layers. Neuron is a mathematical unit, and an artificial neural network that consists of neurons is a complex and nonlinear system. Artificial neural networks (ANNs) may have different architectures which result in different types of ANNs. A static ANN know作者: 繁榮地區(qū) 時間: 2025-3-28 13:16
Silvia Zorzetto,Francesco Ferraroector machine (SVM) is a concept for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis. The formulation of SVM uses the structural risk minimization principle, which has been shown to be superior to the traditional 作者: osculate 時間: 2025-3-28 15:22
https://doi.org/10.1007/978-3-030-12068-9litate the expression of rules and facts. The idea of fuzzy logic is very suitable for engineering application where a precise representation of the real world is sought. In contrast to the statistical-based methods, fuzzy models do not need very strong assumptions and requirements. As far as the en作者: stroke 時間: 2025-3-28 20:24
Silvia Zorzetto,Francesco Ferraroi-model ensemble estimations are applied to increase accuracy and precision of single models. To get an idea about how different models could be combined in a way to increase each other’s abilities, the chapter begins with a summary on the characteristics of the models presented in the previous chap作者: Cpr951 時間: 2025-3-28 23:30
Economics of Ecosystem Servicesche Nebenwirkungen im Harntrakt auch bei mangelnder Alkaligabe in den Handel gekommen. Unechter oder uneigentlicher Synergismus oder noch besser als Synergetik überhaupt nicht zu qualifizieren sind aber jene Ma?nahmen, die mit der Sulfonamidtherapie nur zum Zwecke der St?rkung der Abwehrkr?fte des k
