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Architectures And Algorithms For Stable And Constructive Learning In Discrete Time Recurrent Neural Networks
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Book Synopsis Architectures and Algorithms for Stable and Constructive Learning in Discrete Time Recurrent Neural Networks by :
Download or read book Architectures and Algorithms for Stable and Constructive Learning in Discrete Time Recurrent Neural Networks written by and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Architectures and Algorithms for Stable and Constructive Learning in Discrete Time Recurrent Neural Networks by : Shyamala C. Sivakumar
Download or read book Architectures and Algorithms for Stable and Constructive Learning in Discrete Time Recurrent Neural Networks written by Shyamala C. Sivakumar and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A New Supervised Learning Algorithm of Recurrent Neural Networks and L2 Stability Analysis in Discrete-Time Domain by : Wu Yilei
Download or read book A New Supervised Learning Algorithm of Recurrent Neural Networks and L2 Stability Analysis in Discrete-Time Domain written by Wu Yilei and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A New Supervised Learning Algorithm of Recurrent Neural Networks and L2 Stability Analysis in Discrete-Time Domain.
Book Synopsis Recurrent Neural Networks for Prediction by : Danilo P. Mandic
Download or read book Recurrent Neural Networks for Prediction written by Danilo P. Mandic and published by . This book was released on 2001 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks consist of interconnected groups of neurons which function as processing units. Through the application of neural networks, the capabilities of conventional digital signal processing techniques can be significantly enhanced.
Book Synopsis A New Supervised Learning Algorithm of Recurrent Neural Networks and L2 Stability Analysis in Discrete-Time Domain by : Wu Yilei
Download or read book A New Supervised Learning Algorithm of Recurrent Neural Networks and L2 Stability Analysis in Discrete-Time Domain written by Wu Yilei and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this chapter, a Robust Adaptive Gradient Descent training algorithm of RNN with improved convergence speed is investigated. The major feature of the RAGD is the three adaptive parameters that switch the training patterns in a hybrid learning mode. Weight convergence and robust stability of the algorithm are analyzed via Lyapunov and inputoutput systematic approach respectively. We show how the training algorithm can be decomposed into a nonlinear feedforward operator H1 and a linear feedback operator H2, and thus form a closed loop (H1, H2). Then, by restricting the cone conditions of each operator, sufficient boundary conditions of L2 stability of the training are obtained. In addition, we obtain the knowledge in which way we can adaptively change the learning rates of gradient training algorithms, or equivalently re-scale the corresponding error derivatives under stability preservation, such that the learning is ensured to be within the stable range. Such techniques are specially important for deriving a fast transient response. Another important contribution of this work lies in that we obtain a unified framework for the analysis of training algorithms of RNN by taking this systematic approach. Such an approach avoids the direct analysis of nonlinear functions in the feedforward path by applying the sector conditions. Computer simulations are also synthesized to justify the effectiveness of the RAGD. We give three examples which are most frequent application areas of RNN. The evaluation results indicate that with the proposed adaptive training parameters, the RAGD can obtain better transient and steady state responses than that of the conventional algorithms such as the BPTT, the RTRL, and the N-RTRL etc.
Download or read book Sequence Learning written by Ron Sun and published by Springer. This book was released on 2003-06-29 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sequential behavior is essential to intelligence in general and a fundamental part of human activities, ranging from reasoning to language, and from everyday skills to complex problem solving. Sequence learning is an important component of learning in many tasks and application fields: planning, reasoning, robotics natural language processing, speech recognition, adaptive control, time series prediction, financial engineering, DNA sequencing, and so on. This book presents coherently integrated chapters by leading authorities and assesses the state of the art in sequence learning by introducing essential models and algorithms and by examining a variety of applications. The book offers topical sections on sequence clustering and learning with Markov models, sequence prediction and recognition with neural networks, sequence discovery with symbolic methods, sequential decision making, biologically inspired sequence learning models.
Download or read book Index Medicus written by and published by . This book was released on 2002 with total page 1684 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.
Book Synopsis Stability Analysis and State Estimation of Memristive Neural Networks by : Hongjian Liu
Download or read book Stability Analysis and State Estimation of Memristive Neural Networks written by Hongjian Liu and published by . This book was released on 2024-10-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the stability analysis and estimator design problems for discrete-time memristive neural networks subject to time-delays and approaches state estimation from different perspectives. Each chapter includes analysis problems and application of theories and techniques to pertinent research areas.
Book Synopsis Fundamentals of Artificial Neural Networks by : Mohamad H. Hassoun
Download or read book Fundamentals of Artificial Neural Networks written by Mohamad H. Hassoun and published by MIT Press. This book was released on 1995 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: A systematic account of artificial neural network paradigms that identifies fundamental concepts and major methodologies. Important results are integrated into the text in order to explain a wide range of existing empirical observations and commonly used heuristics.
Book Synopsis Advanced Architecture and Training Algorithms for Recurrent Neural Networks by : Xindi Cai
Download or read book Advanced Architecture and Training Algorithms for Recurrent Neural Networks written by Xindi Cai and published by . This book was released on 2006 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Recurrent neural networks (RNN) attract considerable interest in computational intelligence fields because of their superior power in processing spatio-temporal data and time-varying signals. Traditionally, the recurrency of a neural network occurs between input samples along the time axis. The simultaneous recurrent network (SRN) extends the recurrent property to the spatial dimension. Presenting the feedback information with the same input vector to the network illustrates the transient properties of the system, which helps to trace error propagation and facilitates training. Backpropagation through time and extended Kalman filter are suitable gradient-based training algorithms for RNN"--Abstract, leaf iv.
Book Synopsis Computational Intelligence in Automotive Applications by : Danil Prokhorov
Download or read book Computational Intelligence in Automotive Applications written by Danil Prokhorov and published by Springer. This book was released on 2008-05-28 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is computational intelligence (CI)? Traditionally, CI is understood as a collection of methods from the ?elds of neural networks (NN), fuzzy logic and evolutionary computation. Various de?nitions and opinions exist, but what belongs to CI is still being debated; see, e.g., [1–3]. More recently there has been a proposal to de?ne the CI not in terms of the tools but in terms of challenging problems to be solved [4]. With this edited volume I have made an attempt to give a representative sample of contemporary CI activities in automotive applications to illustrate the state of the art. While CI researchand achievements in some specialized ?elds described (see, e.g., [5, 6]), this is the ?rst volume of its kind dedicated to automotive technology. As if re?ecting the general lack of consensus on what constitutes the ?eld of CI, this volume 1 illustrates automotive applications of not only neural and fuzzy computations which are considered to be the “standard” CI topics, but also others, such as decision trees, graphicalmodels, Support Vector Machines (SVM), multi-agent systems, etc. This book is neither an introductory text, nor a comprehensive overview of all CI research in this area. Hopefully, as a broad and representative sample of CI activities in automotive applications, it will be worth reading for both professionals and students. When the details appear insu?cient, the reader is encouraged to consult other relevant sources provided by the chapter authors.
Book Synopsis Qualitative Analysis and Control of Complex Neural Networks with Delays by : Zhanshan Wang
Download or read book Qualitative Analysis and Control of Complex Neural Networks with Delays written by Zhanshan Wang and published by Springer. This book was released on 2015-07-18 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control technique and its design.
Book Synopsis Neural Network Design by : Martin T. Hagan
Download or read book Neural Network Design written by Martin T. Hagan and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computer & Control Abstracts written by and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Recurrent Neural Networks: Architecture, Algorithms and Applications by : Xindi Cai
Download or read book Recurrent Neural Networks: Architecture, Algorithms and Applications written by Xindi Cai and published by . This book was released on 2002 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Dissertation Abstracts International by :
Download or read book Dissertation Abstracts International written by and published by . This book was released on 1999 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis American Doctoral Dissertations by :
Download or read book American Doctoral Dissertations written by and published by . This book was released on 1998 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: