Titlebook: Neural Network Data Analysis Using Simulnet?; Edward J. Rzempoluck Book 1998 Springer Science+Business Media New York 1998 algorithms.corr

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tudents to follow the text much easier than other books in a.The second edition of .Solar System Astrophysics: Background Science and the Inner Solar System. provides new insights into the burgeoning field of planetary astronomy. As in the first edition, this volume begins with a rigorous treatment

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978-1-4612-7262-5Springer Science+Business Media New York 1998

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Data Analysis,This section will introduce a variety of approaches to the analysis of data. The primary focus will be on the application of neural network-based techniques to the tasks of prediction, classification, and function approximation. This section will therefore begin by discussing the following neural network functions that are available in Simulnet.

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A Data Analysis Protocol,This section presents a protocol, a systematic procedure, that can be used as a guide through the steps involved in preprocessing and analyzing experimental data. In contrast with most other sections of this book, the present section is designed be applied to the reader’s own data.

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Book 1998 run to generate an artificial analog of the physical data. Since data in virtually any native form can be expressed in numerical format, the scope of the analytical techniques and procedures that will be presented in this text is es- sentially unlimited. Sources of data include research work in a r

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