artificial neural networks information (28 Ergebnisse)

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Tapa blanda. Zustand: New. 1ª edición. SCHOLTES, J. C.: ARTIFICIAL NEURAL NETWORKS FOR INFORMATION RETRIEVAL IN A LIBRARIES CONTEXT. LUXEMBOURG, 1995, xiv 303 p. figuras, 1180 gr. Encuadernacion original. Nuevo. (VA-2-6) 1180 gr. Libro.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

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Paperback. Zustand: Brand New. 2014 edition. 224 pages. 9.00x6.00x0.75 inches. In Stock.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003.The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics.

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paperback. Zustand: New. Language:Chinese.Pages Number: 143 Publisher: Defense Industry Pub. Date :2011-4-1. Artificial neural network is the forefront of the rapid development of international cross-disciplinary. It is the simulation of biological neural structures of the new computer system has broad application prospects. Artificial neural network to the uncertain. unstructured information. and image recognition. treatment. ideal for testing water quality information. Chen Lihua compiled the artificial neural netw.

paperback. Zustand: New. Paperback. Pub Date :2014-05-01 Pages: 120 Publisher: China Water Power Press Forestry Information Series Six research: artificial neural networks in dynamic monitoring of forest resources in the application of the key forestry and county-level city in Zhejiang Province (Longquan City) for the study area. in order to accumulate the amount of forest resources as the main monitoring indicators. through the integration of remote sensing. digital elevation models. Forest Resource Inventory data. .

paperback. Zustand: New. Language:Chinese.Paperback Pages Number: 639 This book. a more systematic and comprehensive discussion of the theory and engineering applications of artificial neural network and simulate the evolution of computing. particularly in learning theory and network structure selection. dynamic neural networks. Bayesian methods and simulation of evolutionary computation some of the theoretical problems discussed more in-depth system. Explain and strive to clarify the physical concepts. so that reade.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003.The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics. 1244 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The refereed proceedings of the Joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003.The 138 revised full papers were .

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Information Retrieval (IR) is a field of computer science investigating the automated storage and retrieval of information, particularly documents. The amount of stored information has expanded rapidly and now, vast repositories of information on almost every conceivable subject are available to be searched. Effective IR involves: understanding the needs of users; handling the vagaries and ambiguities of language and human errors; and developing an efficient and accurate storage and search system. This book provides an analysis of IR techniques and systems assessing their strengths and weaknesses. This analysis then provides the motivation for the proposed system of three integrated modules: a novel spell checker based on a binary neural network; a thesaurus generated from a dynamic growing neural network; and, an efficient word-to-document index. The book provides a detailed description of the implementation and evaluation of the proposed system. The IR analyses and system development should be useful to advanced undergraduate and postgraduate computer and library/information science students and researchers analysing and developing IR systems. 212 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hodge VictoriaDr Victoria J. Hodge: studied for B.Sc. and Ph.D. in Computer Science at University of York, UK. Research Associate in the Advanced Computer Architectures Group, Department of Computer Science, University of York, UK.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the refereed proceedings of the joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003.The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 1244 pp. Englisch.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Information Retrieval (IR) is a field of computer science investigating the automated storage and retrieval of information, particularly documents. The amount of stored information has expanded rapidly and now, vast repositories of information on almost every conceivable subject are available to be searched. Effective IR involves: understanding the needs of users; handling the vagaries and ambiguities of language and human errors; and developing an efficient and accurate storage and search system. This book provides an analysis of IR techniques and systems assessing their strengths and weaknesses. This analysis then provides the motivation for the proposed system of three integrated modules: a novel spell checker based on a binary neural network; a thesaurus generated from a dynamic growing neural network; and, an efficient word-to-document index. The book provides a detailed description of the implementation and evaluation of the proposed system. The IR analyses and system development should be useful to advanced undergraduate and postgraduate computer and library/information science students and researchers analysing and developing IR systems.Books on Demand GmbH, Überseering 33, 22297 Hamburg 212 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Information Retrieval (IR) is a field of computer science investigating the automated storage and retrieval of information, particularly documents. The amount of stored information has expanded rapidly and now, vast repositories of information on almost every conceivable subject are available to be searched. Effective IR involves: understanding the needs of users; handling the vagaries and ambiguities of language and human errors; and developing an efficient and accurate storage and search system. This book provides an analysis of IR techniques and systems assessing their strengths and weaknesses. This analysis then provides the motivation for the proposed system of three integrated modules: a novel spell checker based on a binary neural network; a thesaurus generated from a dynamic growing neural network; and, an efficient word-to-document index. The book provides a detailed description of the implementation and evaluation of the proposed system. The IR analyses and system development should be useful to advanced undergraduate and postgraduate computer and library/information science students and researchers analysing and developing IR systems.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Large genome sequencing projects generate huge number of protein sequences in their primary structures that are difficult for conventional biological techniques to determine their corresponding 3D structures and hence their functions. In this book, a novel method for prediction of protein secondary structure has been proposed and implemented together with other known methods in this domain. A benchmark data set is used in training and testing the methods under the same hardware, platforms, and environments. The methods in this work have been discussed and presented in a comparative analysis progression to allow easy comparison and clear conclusions. In this book, the developed method utilizes the knowledge of the information theory and the power of the neural networks to classify a novel protein sequence in one of its three secondary structure classes using the biological information conserved in neighboring residues and related sequences. The accuracy and quality of prediction of the newly developed method found superior to all other methods reported in this domain. In this book, a clear methodology and stringent statistical analysis and interpretation are presented.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The monograph is devoted to the development of computer vision methods and tools using AI for fast identification of moving objects in a video data stream based on deep learning technologies. Classical and non-classical methods of artificial intelligence, convolutional neural networks, computer vision and image recognition, and theories of control systems based on estimates and criteria of mathematical statistics are considered. As a result of recognition, the type of recognised object is determined, and quantitative accuracy estimates are calculated. A method of applying templates is implemented. The algorithm has information about what the sought object looks like, what background it may have, what specific contours of the object look like and in what position they are. The possible location of the object detection is immediately taken into account. It allows for the achievement of high recognition quality and good performance. When a video camera shoots several similar objects, different templates are satisfied, and recognition decreases. Artificial neural network models are used to estimate or approximate functions that may depend on many inputs and are usually unknown.