neural network design (272 Ergebnisse)

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Taschenbuch. Zustand: Neu. A Design and Development Method for Artificial Neural Network Projects | Stefan Vogt | Taschenbuch | 144 S. | Englisch | 2000 | [.] | EAN 9783838620213 | Verantwortliche Person für die EU: Dryas Verlag, ein Imprint der Bedey und Thoms Media GmbH, Hermannstal 119k, 22119 Hamburg, kontakt[at]dryas[dot]de | Anbieter: preigu.

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Taschenbuch. Zustand: Neu. Neuware -The design of Finite Impulse Response (FIR) digital filters has received a great deal of interest over the past two decades. There is a various parameters used for designing FIR filter and therefore, there is always a scope for improvement in the efficiency of the designed filter model. Parallel architecture and fast response makes neural network well suited for real time applications. In this book, filter designing is done based on various algorithms in neural network domain such as Back-propagation Neural Network (BPNN), ADALINE Neural Network and Hopfield Neural Network (HNN). Based on simulation, results are found better than the results given by different researchers and provide an attractive alternative to conventional methods.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch.

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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 384 | Sprache: Englisch | Produktart: Bücher.

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Taschenbuch. Zustand: Neu. Neuware -Optical Character Recognition (OCR) utilizing neural networks is a transformative technology enabling the automatic extraction of text from images. By leveraging deep learning architectures such as Convolutional Neural Networks (CNNs) and recurrent networks like Long Short-Term Memory (LSTM) models, OCR systems can efficiently process complex visual data and accurately transcribe it into machine-readable text. This process involves training the neural network on labeled image-text pairs, enabling it to learn the intricate patterns and structures inherent in characters and words. Through iterative training and validation, the OCR model refines its ability to recognize text across various fonts, languages, and styles. Once trained, these models can be deployed in diverse applications, from digitizing historical documents to enhancing accessibility for visually impaired individuals, marking a significant advancement in information processing and accessibility.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch.

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The purpose of this book is to go to through the main topics address a number of experimental and theoretical studies on the intelligent techniques used to control of steam power plant for enhancement and evaluation of the performance of the thermal power plant. This book included many of intelligent techniques such as Artificial Neural Networks(ANNs), as well as Electric Circuits and Cycle Tempo Program.

Taschenbuch. Zustand: Neu. Neuware -Adaptive channel equalisers compensate the disruptive effects caused by band-limited channels, hence enabling higher data rate in digital communication. Designing efficient equalisers based on low structural complexity is an area of interest amongst communication system designers. This research has significantly contributed to the development of novel equaliser structures in the neural network paradigm on the framework of both the feedforward neural network and the recurrent neural network of low structural complexity. Various innovative techniques like hierarchical knowledge reinforcement, genetic evolutionary concept, transform domain approach, tuning of sigmoid slope of neuron using fuzzy logic concept have been incorporated into an FNN framework to design highly efficient equaliser structures. Subsequently, an hybrid concept of using cascaded modules of RNN and FNN in various configurations has also been proposed. Significant performance improvement over the conventional equalisers in terms of BER, faster adaptation rate and ease of implementation are the major advantages of the proposed neural network based equalisers.Books on Demand GmbH, Überseering 33, 22297 Hamburg 216 pp. Englisch.

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Hardcover. Zustand: New in new dust jacket. First edition. 2013 ed. ***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. Sewn binding. Cloth over boards. 365 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color. Audience: General/trade.

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paperback. Zustand: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2002-01-01 Pages: 193 Publisher: Chemical Industry Press Welcome Our service and quality to your satisfaction. please tell your friends around. thank you for your support and look forward to your service QQ: 11.408.523.441 We sold the books are not tax price. For invoices extra to eight percent of the total amount of the tax point. Please note in advance. After payment. within 48 hours of delivery to you. Do not frequent reminders. if not the recipient. please be careful next single. OUR default distribution for Shentong through EMS. For other courier please follow customer instructions. The restaurant does not the post office to hang brush. please understand. Using line payment. must be in time for the payment to contact us. Stock quantity is not allowed. Specific contact customer service. 6. Restaurant on Saturday and Sunday. holidays. only orders not shipped. The specific matters Contact Customer Service. Basic information about the title: artificial neural network theory. design and application of original price: 21.00 yuan price: 16.80 yuan to 4.20 yuan discount savings for you: 80% off: Han Liqun ed Publisher: Chemical Industry Press Publication Date :2002-1- 1ISBN: 9787502533540 Words: 307.000 yards: 193 Edition: 1 Binding: Paperback: product size and weight: edit recommend EXECUTIVE SUMMARY This book discusses artificial neural network theory. design basis and application examples designed to make readers understand neural network development background and study. understand and are familiar with its basic principles and main applications. to master its structural model and the basic application of design methods. and to lay the foundation for future in-depth research and application development. In order to facilitate the reader to understand the book to avoid tedious derivation. strengthen the application example. and noted that the the readers initial contact with the new concept of easy to accept the logic and thinking on the selection and presentation of content. Learning through this book. readers will artificial neural networks have a basic understanding of the preliminary application design and lay the foundation for the subsequent in-depth research and application development. As the expansion of knowledge. the book also introduces the basic concepts of artificial neural systems architecture. control characteristics and mode. Of creation of artificial neural network theory and application courses for electrical specialty in graduate and senior undergraduate students for six consecutive years. in five modifications handouts and a number of research based on the formation of this book. This book is suitable for the Graduate College Electrical Information. undergraduate and a variety of scientific and technical personnel read. 1.5 Chapter Summary thinking of the applications of artificial neural networks of Contents 1 Introduction 1.1 Overview 1.4 artificial neural network of the basic characteristics and functions of the 1.2 Artificial Neural Networks brief history 1.3 artificial neural network 2.1 artificial neural network with the biological basis of to practice artificial neural network 2.3 artificial neural network model of the biological basis of 2.2 artificial neuron model 2.4 3.2 Multilayer Perceptron 3.3 adaptive linear unit 3 feedforward neural networks 3.1 single-layer perceptron to learn the thinking and practice of the 2.5 Chapter Summary 3.4 error back propagation artificial neural network ( BP) algorithm 3.5 standard BP Algorithm 3.6 based on BP algorithm of multi-layer feedforward network design basis 3.7 3.8 Chapter Summary Thinking and 4.1 competition practice self-organizing neural network learning based on BP algorithm of multi-layer feedforward network application design instance 4.2 concepts and principles of self-organizing feature map (SOM) neural network 4.3 SOFM ne.

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paperback. Zustand: New. Language:Chinese.Pages Number: 363 Publisher: Beijing University of Posts and Telecommunications Press Pub. Date :2009-12. This book design and application of neural networks and practical. introduced 10 kinds of common basic principles of artificial neural networks. design methods. and applications from all areas of a rich selection of examples of typical applications for analysis. designed to enable readers to various types of commonly used artificial The basic principles and neural network.

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