| 書(shū)目名稱(chēng) | Learning Automata and Stochastic Optimization | | 編輯 | A. S. Poznyak,K. Najim | | 視頻video | http://file.papertrans.cn/583/582690/582690.mp4 | | 叢書(shū)名稱(chēng) | Lecture Notes in Control and Information Sciences | | 圖書(shū)封面 |  | | 描述 | In the last decade there has been a steadily growing need for and interest in computational methods for solving stochastic optimization problems with or wihout constraints. Optimization techniques have been gaining greater acceptance in many industrial applications, and learning systems have made a significant impact on engineering problems in many areas, including modelling, control, optimization, pattern recognition, signal processing and diagnosis. Learning automata have an advantage over other methods in being applicable across a wide range of functions. Featuring new and efficient learning techniques for stochastic optimization, and with examples illustrating the practical application of these techniques, this volume will be of benefit to practicing control engineers and to graduate students taking courses in optimization, control theory or statistics. | | 出版日期 | Book 1997 | | 關(guān)鍵詞 | automata; computational method; control; control theory; diagnosis; optimization; signal processing | | 版次 | 1 | | doi | https://doi.org/10.1007/BFb0015102 | | isbn_softcover | 978-3-540-76154-9 | | isbn_ebook | 978-3-540-40938-0Series ISSN 0170-8643 Series E-ISSN 1610-7411 | | issn_series | 0170-8643 | | copyright | Springer-Verlag London 1997 |
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