Confess 发表于 2025-3-23 13:46:37

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令人悲伤 发表于 2025-3-23 17:40:11

od, the application of network concepts to electromagnetic field modeling, circuit and system applications and, finally, with broadband devices, systems and measurement techniques..978-3-642-08828-5978-3-540-68768-9

Obstacle 发表于 2025-3-23 20:24:37

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Afflict 发表于 2025-3-24 02:01:21

Daniel Borcard,François Gillet,Pierre Legendre RNN modeling technique is introduced to efficiently determine the training waveform distribution and internal RNN structure during the offline training process. Through two examples it’s demonstrated that the trained time domain neural network model provides fast EM solutions with variable values of the geometrical parameter in the model.

Blazon 发表于 2025-3-24 03:33:34

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APEX 发表于 2025-3-24 08:11:36

Exploratory Data Analysis,tion tools and simple statistics, is still required at the beginning of the statistical analysis of multidimensional data, in order to get an overview of the data, transform or recode some variables or orient further analyses. In this chapter you will learn or revise some bases of the . language, le

EXTOL 发表于 2025-3-24 12:55:33

Association Measures and Matrices, possible pairs of objects or descriptors. The comparisons take the form of association measures (often called coefficients or indices), which are assembled in a square and symmetric association matrix, of dimensions n × n when objects are compared, or p × p when variables are compared. Since the su

NUL 发表于 2025-3-24 18:27:40

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SOW 发表于 2025-3-24 19:35:11

Unconstrained Ordination,communities, which are generally structured in gradients. In this chapter, you will learn how to choose among various ordination techniques (PCA, CA, MCA, PCoA and NMDS), compute them using the correct options, and properly interpret the ordination diagrams; apply these techniques to the Doubs River

凌辱 发表于 2025-3-25 02:35:49

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查看完整版本: Titlebook: Numerical Ecology with R; Daniel Borcard,François Gillet,Pierre Legendre Book 2018Latest edition Springer International Publishing AG, par