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Titlebook: Numeric Computation and Statistical Data Analysis on the Java Platform; Sergei V. Chekanov Textbook 2016 Springer International Publishing

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發(fā)表于 2025-3-26 21:45:26 | 只看該作者
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發(fā)表于 2025-3-27 05:19:18 | 只看該作者
Neural Networks, classification and predictions. This topic was only briefly discussed in the previous sections. In this chapter, we will discuss machine learning based on neural networks, computer programs inspired by artificial intelligence algorithms designed to remember complex patterns in data, and make decisi
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發(fā)表于 2025-3-27 10:05:34 | 只看該作者
Finding Regularities and Data Classification, part of any realistic data analysis is to search for any unusual features that can be used later for data comprehension. Observation of structures in data can lead to discoveries of new laws of nature, and can also be used for more pragmatic tasks, such as prediction of future dynamic changes.
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Octave-Style Scripting Using Java,tax is not tightly integrated with the Java platform, unlike other Java scripting languages which can import external Java libraries. But, as discussed in Chap.?., you can easily integrate Octave-like code with symbolic calculations inside Java programs or Java-supported scripting languages, such as
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發(fā)表于 2025-3-27 23:05:37 | 只看該作者
xamples ofnon-simple materials are considered. In the final part, existence, uniqueness and stability results are presented for the integrodifferential equations describing the dynamical evolution of viscoelast978-1-4899-9587-2978-1-4614-1692-0
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發(fā)表于 2025-3-28 02:33:24 | 只看該作者
Sergei V. Chekanovxamples ofnon-simple materials are considered. In the final part, existence, uniqueness and stability results are presented for the integrodifferential equations describing the dynamical evolution of viscoelast978-1-4899-9587-2978-1-4614-1692-0
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