Neural Computing Architectures
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Neural Computing Architectures
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Author : Igor Aleksander
language : en
Publisher:
Release Date : 1989
Neural Computing Architectures written by Igor Aleksander and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Artificial intelligence categories.
Neural Computing Architectures
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Author :
language : en
Publisher:
Release Date : 1989
Neural Computing Architectures written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Artificial intelligence categories.
Neural Network Analysis Architectures And Applications
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Author : A Browne
language : en
Publisher: CRC Press
Release Date : 1997-01-01
Neural Network Analysis Architectures And Applications written by A Browne and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-01-01 with Mathematics categories.
Neural Network Analysis, Architectures and Applications discusses the main areas of neural networks, with each authoritative chapter covering the latest information from different perspectives. Divided into three parts, the book first lays the groundwork for understanding and simplifying networks. It then describes novel architectures and algorithms, including pulse-stream techniques, cellular neural networks, and multiversion neural computing. The book concludes by examining various neural network applications, such as neuron-fuzzy control systems and image compression. This final part of the book also provides a case study involving oil spill detection. This book is invaluable for students and practitioners who have a basic understanding of neural computing yet want to broaden and deepen their knowledge of the field.
Hybrid Architectures For Intelligent Systems
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Author : Abraham Kandel
language : en
Publisher: CRC Press
Release Date : 2020-09-10
Hybrid Architectures For Intelligent Systems written by Abraham Kandel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-10 with Computers categories.
Hybrid architecture for intelligent systems is a new field of artificial intelligence concerned with the development of the next generation of intelligent systems. This volume is the first book to delineate current research interests in hybrid architectures for intelligent systems. The book is divided into two parts. The first part is devoted to the theory, methodologies, and algorithms of intelligent hybrid systems. The second part examines current applications of intelligent hybrid systems in areas such as data analysis, pattern classification and recognition, intelligent robot control, medical diagnosis, architecture, wastewater treatment, and flexible manufacturing systems. Hybrid Architectures for Intelligent Systems is an important reference for computer scientists and electrical engineers involved with artificial intelligence, neural networks, parallel processing, robotics, and systems architecture.
Neural Computing Architectures For Adaptive Learning Control Systems
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Author : Ali Ismael
language : en
Publisher:
Release Date : 1989
Neural Computing Architectures For Adaptive Learning Control Systems written by Ali Ismael and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Adaptive control systems categories.
Deep Learning On Edge Computing Devices
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Author : Xichuan Zhou
language : en
Publisher: Elsevier
Release Date : 2022-02-02
Deep Learning On Edge Computing Devices written by Xichuan Zhou and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-02 with Computers categories.
Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep learning, including neural networks. The title helps researchers maximize the performance of Edge-deep learning models for mobile computing and other applications by presenting neural network algorithms and hardware design optimization approaches for Edge-deep learning. Applications are introduced in each section, and a comprehensive example, smart surveillance cameras, is presented at the end of the book, integrating innovation in both algorithm and hardware architecture. Structured into three parts, the book covers core concepts, theories and algorithms and architecture optimization. This book provides a solution for researchers looking to maximize the performance of deep learning models on Edge-computing devices through algorithm-hardware co-design. Focuses on hardware architecture and embedded deep learning, including neural networks Brings together neural network algorithm and hardware design optimization approaches to deep learning, alongside real-world applications Considers how Edge computing solves privacy, latency and power consumption concerns related to the use of the Cloud Describes how to maximize the performance of deep learning on Edge-computing devices Presents the latest research on neural network compression coding, deep learning algorithms, chip co-design and intelligent monitoring
Neural Network Architectures
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Author : Judith E. Dayhoff
language : en
Publisher: Itp New Media
Release Date : 1996
Neural Network Architectures written by Judith E. Dayhoff and has been published by Itp New Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computer architecture categories.
Recurrent Neural Networks
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Author : Fathi M. Salem
language : en
Publisher: Springer Nature
Release Date : 2022-01-03
Recurrent Neural Networks written by Fathi M. Salem and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-03 with Technology & Engineering categories.
This textbook provides a compact but comprehensive treatment that provides analytical and design steps to recurrent neural networks from scratch. It provides a treatment of the general recurrent neural networks with principled methods for training that render the (generalized) backpropagation through time (BPTT). This author focuses on the basics and nuances of recurrent neural networks, providing technical and principled treatment of the subject, with a view toward using coding and deep learning computational frameworks, e.g., Python and Tensorflow-Keras. Recurrent neural networks are treated holistically from simple to gated architectures, adopting the technical machinery of adaptive non-convex optimization with dynamic constraints to leverage its systematic power in organizing the learning and training processes. This permits the flow of concepts and techniques that provide grounded support for design and training choices. The author’s approach enables strategic co-training of output layers, using supervised learning, and hidden layers, using unsupervised learning, to generate more efficient internal representations and accuracy performance. As a result, readers will be enabled to create designs tailoring proficient procedures for recurrent neural networks in their targeted applications.
Turing S Connectionism
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Author : Christof Teuscher
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Turing S Connectionism written by Christof Teuscher and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Christof Teuscher revives, analyzes, and simulates Turing's ideas, applying them to different types of problems, and building and training Turing's machines using evolutionary algorithms. In a little known paper entitled 'Intelligent Machinery' Turing investigated connectionist networks, but his work was dismissed as a 'schoolboy essay'and it was left unpublished until 1968, 14 years after his death. This is not a book about today's (classical) neural networks, but about the neuron network-like structures proposed by Turing. One of its novel features is that it actually goes beyond Turing's ideas by proposing new machines. The book also contains a Foreward by B. Jack Copeland and D. Proudfoot.
Neural Computing Research And Applications Proceedings Of The Second Irish Neural Networks Conference Queen S University Belfast Northern Ireland 25 26 June 1992
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Author : Gerry A. Orchard
language : en
Publisher: CRC Press
Release Date : 1993-06
Neural Computing Research And Applications Proceedings Of The Second Irish Neural Networks Conference Queen S University Belfast Northern Ireland 25 26 June 1992 written by Gerry A. Orchard and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-06 with Conferences categories.
The results of current research in a truly wide range of disciplines are detailed in over thirty papers in this volume. The first section includes research on biological and pyschological issues, together with recent results on the design of neural network architectures and algorithms important for further advances in neural network modelling. Those in the second section provide an account of the wide [Bnge of applications for neural nets in industry, commerce, medical diagnosis and psychological modelling, and indicate where future opportunities for their applications exist. This volume will provide a valuable reference source for researchers in the field.
