An introduction to neural networks Krose B.
Krose B.
Год: 1996
Количество страниц: 135
Язык: Английский
Формат: DJVU / RAR
Формат файла: RAR
This manuscript attempts to provide the reader with an insight in artificial neural networks. Back in 1990, the absence of any state-of-the-art textbook forced us into writing our own. However, in the meantime a number of worthwhile textbooks have been published which can be used for background and in-depth information. We are aware of the fact that, at times, this manuscript may prove to be too thorough or not thorough enough for a complete understanding of the material; therefore, further reading material can be found in some excellent text books such as (Hertz, Krogh, &: Palmer, 1991; Ritter, Martinetz, &: Schulten, 1990; Kohonen, 1995; Anderson & Rosenfeld, 1988; DARPA, 1988; McClelland & Rumelhart, 1986; Rumelhart & McClelland, 1986).
Some of the material in this book, especially parts III and IV, contains timely material and thus may heavily change throughout the ages. The choice of describing robotics and vision as neural network applications coincides with the neural network research interests of the authors.
Much of the material presented in chapter 6 has been written by Joris van Dam and Anuj Dev at the University of Amsterdam. Also, Anuj contributed to material in chapter 9. The basis of chapter 7 was form by a report of Gerard Schram at the University of Amsterdam. Furthermore, we express our gratitude to those people out there in Net-Land who gave us feedback on this manuscript, especially Michiel van der Korst and Nicolas Maudit who pointed out quite a few of our goof-ups. We owe them many kwartjes for their help.
The seventh edition is not drastically different from the sixth one; we corrected some typing errors, added some examples and deleted some obscure parts of the text. In the eighth edition, symbols used in the text have been globally changed. Also, the chapter on recurrent networks has been (albeit marginally) updated. The index still requires an update, though.
- Кalman filtering and neural networks Haykin S.
This self-contained book, consisting of seven chapters, is devoted to Kalman filter theory applied to the training and use of neural networks, and some applications of learning algorithms derived in this way It is organized as follows: • Chapter 1 presents an introductory treatment of Kalman filters, with emphasis on basic Kalman filter theory, the Rauch-Tung-Striebel smoother, and the extended Kalman filter - Руководство к решению задач по теоретической механике Айзенберг Т.Б., Воронков И.М., Осецкий В.М.
Важной задачей при изучении курса теоретической механики является самостоятельная работа студенток Особую актуальность она приобретает в последнее время, в связи с сокращением для ряда специальностей числа аудиторных часов отводимых на теоретическую механику Поэтому возникает потребность с учебных руководствах и пособиях которые облегчат студентам самостоятельное изучение теоретических разделов курса и помогут им научиться самостоятельно при- менять теорию к решению практических задач - Lectures on computation Feynman R.P.
Since it is now some eight years since Feynman died I feel it necessary to explain the genesis of these Feynman Lectures on Computation In November 1987 I received a call from Helen Tuck, Feynman's secretary of many years, saying that Feynman wanted me to write up his lecture notes on computation for publication - Активні блискавкоприймачі: лабораторні дослідження і спостереження в умовах експлуатації Кристіан Леонард
У статті наводяться результати лабораторних досліджень активних блискавкоприй-мачів (АВП) з ранньою емісією стримерів (ESE - eady streamer emission), а також 10-річних спостережень їх експлуатації у Малайзії і одного випадку на терені Польщі