| 词汇 | example_english_radial-basis |
| 释义 | radial basiscollocation in Englishmeanings of radialand basisThese words are often used together. Click on the links below to explore the meanings. Or, see other collocations with basis. radial adjective uk /ˈreɪ.di.əl/ us /ˈreɪ.di.əl/ spreading out from a ... See more at radial basis noun[C] uk /ˈbeɪ.sɪs/ us /ˈbeɪ.sɪs/ the most important facts, ideas, etc. from which something ... See more at basis Examples of radial basisThese examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. In that case, we call the radialbasis function 'positive definite' as well. If a compactly supported radialbasis function is used, the necessary scaling leads to the aforementioned trade-off between accuracy and bandwidth of the matrix. Other iterative methods for computing radialbasis function interpolants such as conjugate gradient methods are also in need of these residuals. This, however, does not mean that radialbasis functions cannot be used in data mining. The two probably best-known and most often applied radialbasis functions are called multiquadrics and thin-plate splines, respectively. Naturally, an important decision is the choice of radialbasis function, especially whether globally or locally supported ones should be used. Polynomials and non-compactly supported radialbasis functions are examples of approximating functions that are defined over the entire domain of interest. It is possible to have a purely neural adaptive estimation network consisting of radialbasis functions and a supervised adaptive output layer. The content includes the online version of k-means, adaptive resonance theory, self-organizing maps, the radialbasis function network and mixture of experts framework. In an attempt to decrease the computational work, a compactly supported radialbasis function may be used. These comprise certain radialbasis schemes, stochastic sampling techniques, and approaches that work with spaces of functions with bounded mixed derivatives. Section 5 is devoted to radialbasis functions on spheres. There are various reasons why radialbasis functions are useful for these three approaches. The final section is devoted to applications, mostly to some initial attempts at the numerical solution of differential equations with radialbasis function methods. We still let the radialbasis function be from the above class (2.1), although many of the results cited include multiquadric interpolation, for example. We see that this is possible for all non-compactly supported radialbasis functions that have been mentioned, because they are smooth away from their centres. In recent years, radialbasis functions have received a lot of attention both theoretically and in applications. Much work on radialbasis functions on spheres which we have only touched upon in this article originates from those applications of geophysics. Radialbasis function methods are modern ways to approximate multivariate functions, especially in the absence of grid data. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. Want to learn more? Go to the definition of radial Go to the definition of basis See other collocations with basis |
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