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Object Oriented Design Of A Bp Neural Network Simulator And Implementation On The Connection Machine Cm 5
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Book Synopsis Object Oriented Design of a BP Neural Network Simulator and Implementation on the Connection Machine (CM-5). by : International Computer Science Institute
Download or read book Object Oriented Design of a BP Neural Network Simulator and Implementation on the Connection Machine (CM-5). written by International Computer Science Institute and published by . This book was released on 1994 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "In this paper we describe the implementation of the backpropagation algorithm by means of an object oriented library (ARCH). The use of this library relieve [sic] the user from the details of a specific parallel programming paradigm and at the same time allows a greater portability of the generated code. To provide a comparison with existing solutions, we survey the most relevant implementations of the algorithm proposed so far in the literature, both on dedicated and general purpose computers. Extensive experimental results show that the use of the library does not hurt the performance of our simulator, on the contrary our implementation on a Connection Machine (CM-5) is comparable with the fastest in its category."
Book Synopsis From Natural to Artificial Neural Computation by : Jose Mira
Download or read book From Natural to Artificial Neural Computation written by Jose Mira and published by Springer Science & Business Media. This book was released on 1995-05-24 with total page 1182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the International Workshop on Artificial Neural Networks, IWANN '95, held in Torremolinos near Malaga, Spain in June 1995. The book contains 143 revised papers selected from a wealth of submissions and five invited contributions; it covers all current aspects of neural computation and presents the state of the art of ANN research and applications. The papers are organized in sections on neuroscience, computational models of neurons and neural nets, organization principles, learning, cognitive science and AI, neurosimulators, implementation, neural networks for perception, and neural networks for communication and control.
Book Synopsis Parallel Architectures for Artificial Neural Networks by : N. Sundararajan
Download or read book Parallel Architectures for Artificial Neural Networks written by N. Sundararajan and published by Wiley-IEEE Computer Society Press. This book was released on 1998-12-14 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: An excellent reference for neural networks research and application, this book covers the parallel implementation aspects of all major artificial neural network models in a single text. Parallel Architectures for Artificial Neural Networks details implementations on various processor architectures built on different hardware platforms, ranging from large, general purpose parallel computers to custom built MIMD machine. Working experts describe their implementation research including results that are then divided into three sections: The theoretical analysis of parallel implementation schemes on MIMD message passing machines The details of parallel implementation of BP neural networks on general purpose, large, parallel computers Four specific purpose parallel neural computer configuration Aimed at graduate students and researchers working in artificial neural networks and parallel computing this work can be used by graduate level educators to illustrate parallel computing methods for ANN simulation. Practitioners will also find the text an ideal reference tool for lucid mathematical analyses.
Book Synopsis An Object Oriented Design and Implementation of an Os and Network Simulator by : Krishnamurthy Gautham
Download or read book An Object Oriented Design and Implementation of an Os and Network Simulator written by Krishnamurthy Gautham and published by . This book was released on 1996 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Object-oriented Implementation of a Novel Neural Network Design for a Demanding Medical Problem by : Sam Chien-shin Lin
Download or read book An Object-oriented Implementation of a Novel Neural Network Design for a Demanding Medical Problem written by Sam Chien-shin Lin and published by . This book was released on 1991 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis FPGA Implementations of Neural Networks by : Amos R. Omondi
Download or read book FPGA Implementations of Neural Networks written by Amos R. Omondi and published by Springer Science & Business Media. This book was released on 2006-10-04 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the 1980s and early 1990s there was signi?cant work in the design and implementation of hardware neurocomputers. Nevertheless, most of these efforts may be judged to have been unsuccessful: at no time have have ha- ware neurocomputers been in wide use. This lack of success may be largely attributed to the fact that earlier work was almost entirely aimed at developing custom neurocomputers, based on ASIC technology, but for such niche - eas this technology was never suf?ciently developed or competitive enough to justify large-scale adoption. On the other hand, gate-arrays of the period m- tioned were never large enough nor fast enough for serious arti?cial-neur- network (ANN) applications. But technology has now improved: the capacity and performance of current FPGAs are such that they present a much more realistic alternative. Consequently neurocomputers based on FPGAs are now a much more practical proposition than they have been in the past. This book summarizes some work towards this goal and consists of 12 papers that were selected, after review, from a number of submissions. The book is nominally divided into three parts: Chapters 1 through 4 deal with foundational issues; Chapters 5 through 11 deal with a variety of implementations; and Chapter 12 looks at the lessons learned from a large-scale project and also reconsiders design issues in light of current and future technology.
Book Synopsis A Supervised Machine Learning Approach Using Object-oriented Programming Principles by : Merl J. Creps (Jr.)
Download or read book A Supervised Machine Learning Approach Using Object-oriented Programming Principles written by Merl J. Creps (Jr.) and published by . This book was released on 2018 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Neural Networks (ANNs) can be defined as a collection of interconnected layers, neurons and weighted connections. Each layer is connected to the previous layer by weighted connections that couple each neuron in a layer to the next neuron in the adjacent layer. An ANN resembles a human brain with multiple interconnected synapses which allow for the signal to easily flow from one neuron to the next. There are two distinct constructs which an ANN can assume; they can be thought of as Supervised and Unsupervised networks. Supervised neural networks have known outcomes while Unsupervised neural networks have unknown outcomes. This thesis will primarily focus on Supervised neural networks. The contributions of this thesis are two-fold. One, it offers a comprehensive study of Object-oriented Programming (OOP) design principles that have been employed to design ANNs. Two, it designs and implements a scalable OOP solution to ANNs. The ANN solution presented in this thesis provides an efficient and accurate statistical prediction model. A Multi-layer feed-forward neural network using back-propagation is used to demonstrate OOP design techniques. The neural network consists of three layers: one input layer, one hidden layer, and one output layer. The input layer consists of two neurons; the hidden layer consists of three neurons; while the output layer consists of one neutron. The neural network utilizes the Sigmoid function as the activation function so that all data points are normalized to values between [0,1]. Compared to two existing models (Encog and Neuroph), the approach in this work produces a more accurate prediction.
Book Synopsis Implementation of Artificial Neural Networks Using Backpropagation on the Connection Machine (Model CM-2) and the IBM 3090 for the Problem of Characterization of Medical and Remote Sensing Image Data by : Petros Podaras
Download or read book Implementation of Artificial Neural Networks Using Backpropagation on the Connection Machine (Model CM-2) and the IBM 3090 for the Problem of Characterization of Medical and Remote Sensing Image Data written by Petros Podaras and published by . This book was released on 1991 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Neural Network Implementation for the Connection Machine by : Sam Guyer
Download or read book A Neural Network Implementation for the Connection Machine written by Sam Guyer and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Object-oriented Programming Approach to the Implementation of a Neural Network for Robot Map Learning by : Hsiao-Yu Lee
Download or read book An Object-oriented Programming Approach to the Implementation of a Neural Network for Robot Map Learning written by Hsiao-Yu Lee and published by . This book was released on 1990 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Object Oriented Artificial Neural Network Simulator in Text and Symbol Recognition by : Alan T. Piszcz
Download or read book Object Oriented Artificial Neural Network Simulator in Text and Symbol Recognition written by Alan T. Piszcz and published by . This book was released on 1993 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Neural Network Simulator for the Connection Machine by :
Download or read book A Neural Network Simulator for the Connection Machine written by and published by . This book was released on 1990 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Design and Implementation of a Neural Network Simulator by : A. C. Bradford
Download or read book The Design and Implementation of a Neural Network Simulator written by A. C. Bradford and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Portable, Object-oriented Library for Neural Network Simulation by : Martin P. Franz
Download or read book A Portable, Object-oriented Library for Neural Network Simulation written by Martin P. Franz and published by . This book was released on 1998 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Efficient Implementation of the Backpropagation Algorithm on the Connection Machine CM-2 by : Xiru Zhang
Download or read book An Efficient Implementation of the Backpropagation Algorithm on the Connection Machine CM-2 written by Xiru Zhang and published by . This book was released on 1989 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Deterministic Artificial Intelligence by : Timothy Sands
Download or read book Deterministic Artificial Intelligence written by Timothy Sands and published by BoD – Books on Demand. This book was released on 2020-05-27 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kirchhoff’s laws give a mathematical description of electromechanics. Similarly, translational motion mechanics obey Newton’s laws, while rotational motion mechanics comply with Euler’s moment equations, a set of three nonlinear, coupled differential equations. Nonlinearities complicate the mathematical treatment of the seemingly simple action of rotating, and these complications lead to a robust lineage of research culminating here with a text on the ability to make rigid bodies in rotation become self-aware, and even learn. This book is meant for basic scientifically inclined readers commencing with a first chapter on the basics of stochastic artificial intelligence to bridge readers to very advanced topics of deterministic artificial intelligence, espoused in the book with applications to both electromechanics (e.g. the forced van der Pol equation) and also motion mechanics (i.e. Euler’s moment equations). The reader will learn how to bestow self-awareness and express optimal learning methods for the self-aware object (e.g. robot) that require no tuning and no interaction with humans for autonomous operation. The topics learned from reading this text will prepare students and faculty to investigate interesting problems of mechanics. It is the fondest hope of the editor and authors that readers enjoy the book.
Book Synopsis The NEURON Book by : Nicholas T. Carnevale
Download or read book The NEURON Book written by Nicholas T. Carnevale and published by Cambridge University Press. This book was released on 2006-01-12 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.
