This book contains the Proceedings of the US-Japan Seminar on Learning Process in Control Systems. The seminar, held in Nagoya, Japan, from August 18 to 20, 1970, was sponsored by the US-Japan Cooperative Science Program, jointly supported by the National Science Foundation and the Japan Society for the Promotion of Science. The full texts of all the presented papers except two t are included. The papers cover a great variety of topics related to learning processes and systems, ranging from pattern recognition to systems identification, from learning control to biological modelling. In order to reflect the actual content of the book, the present title was selected. All the twenty-eight papers are roughly divided into two parts--Pattern Recognition and System Identification and Learning Process and Learning Control. It is sometimes quite obvious that some papers can be classified into either part. The choice in these cases was strictly the editor's in order to keep a certain balance between the two parts. During the past decade there has been a considerable growth of interest in problems of pattern recognition and machine learn- ing. In designing an optimal pattern recognition or control system, if all the a priori information about the process under study is known and can be described deterministically, the optimal system is usually designed by deterministic optimization techniques.
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This book contains the Proceedings of the US-Japan Seminar on Learning Process in Control Systems. The seminar, held in Nagoya, Japan, from August 18 to 20, 1970, was sponsored by the US-Japan Cooperative Science Program, jointly supported by the National Science Foundation and the Japan Society for the Promotion of Science. The full texts of all the presented papers except two t are included. The papers cover a great variety of topics related to learning processes and systems, ranging from pattern recognition to systems identification, from learning control to biological modelling. In order to reflect the actual content of the book, the present title was selected. All the twenty-eight papers are roughly divided into two parts--Pattern Recognition and System Identification and Learning Process and Learning Control. It is sometimes quite obvious that some papers can be classified into either part. The choice in these cases was strictly the editor's in order to keep a certain balance between the two parts. During the past decade there has been a considerable growth of interest in problems of pattern recognition and machine learn ing. In designing an optimal pattern recognition or control system, if all the a priori information about the process under study is known and can be described deterministically, the optimal system is usually designed by deterministic optimization techniques.
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Zustand: Good. *Price HAS BEEN reduced by 10% until Monday, Aug. 18 (weekend SALE item)* 344 pp., hardcover, ex library else text clean & binding tight (lacks dust jacket). - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Artikel-Nr. ZB1194533
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Hardcover. Zustand: Very Good. Zustand des Schutzumschlags: Very Good. 1st Edition. Proceedings of the Japan-U.S. Seminar on the Learning Process in Control Systems, held in Nagoya, Japan August 18-20, 1970.All the twenty-eight papers are roughly divided into two parts--Pattern Recognition and System Identification and Learning Process and Learning Control. Some of the papers featured include: "Heuristics and Learning Control" by K. Nakamura and M. Oda; "A Continuous-Valued Learning Controller for the Global Optimizationof Stochstic Control Systems" by R. W. McLaren; "Learnin Control via Associative Retrieval and Inference" by Julius T. Tou; "On a Class of Performance-Adaptive Self-Organizing Contyrol Systems" by Georhe Saridis; "Adaptive Optimization in Learning Control" by George J. McMurtry; "Multi-category Pattern Classification Using a Nonsupervised Learning Algorithm" by Iwso Morishita and Ryuji Takanuki; "Sequential Identification by Means of Gradient Learning Algorithms" by J.M. Mendel. Dust jacket with some edge wear to the top edges mostly. Pages are very clean. Provenance: Biodynamics Research Corp. stamped on ffep and title page. 7" - 10¼". book. Artikel-Nr. 278152
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