Titlebook: Data-Driven Modeling: Using MATLAB? in Water Resources and Environmental Engineering; Shahab Araghinejad Textbook 2014 Springer Science+Bu

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伸展

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

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細(xì)微的差異

衰弱的心

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

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Vulnerary

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

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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.