Optimisation Of Massively Parallel Neural Networks

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Optimisation of Massively Parallel Neural Networks

Author : Michael Oldroyd
Publisher : Fultus Corporation
ISBN 13 : 1596820101
Total Pages : 161 pages
Book Rating : 4.5/5 (968 download)

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Book Synopsis Optimisation of Massively Parallel Neural Networks by : Michael Oldroyd

Download or read book Optimisation of Massively Parallel Neural Networks written by Michael Oldroyd and published by Fultus Corporation. This book was released on 2004-12 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Book Description: Most current artificial neural networks exist only within software simulators running on conventional computers. Simulators can provide great flexibility, but require immensely powerful and costly hardware for even very small networks. An artificial neural network implemented as a custom integrated circuit could operate many thousands of times faster than any simulator as each neuron can operate simultaneously. A significant problem with implementing neural networks in hardware is that larger networks require a great deal of silicon area, making them too costly to design and produce. In this book, I test the effectiveness of a number of algorithms that reduce the size of a trained neural network while maintaining accuracy. Author Biography: Michael Oldroyd is a software development veteran who started progamming professionally back in 1992. He is now development manager at AES Data Systems. He has worked as a consultant and software developer for a number of international organisations including Mobil Oil, The European Commission, Deutsche Bank, Compaq Computer, and the Cabinet Office. He has developed several bespoke AI trading and decision support tools used on trading floors in the currency, stock and energy markets. He is a professional member of the IEEE and the Computational Intelligence Society.

Genetic Algorithms in Optimisation, Simulation and Modelling

Author : Joachim Stender
Publisher : IOS Press
ISBN 13 : 9789051991802
Total Pages : 274 pages
Book Rating : 4.9/5 (918 download)

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Book Synopsis Genetic Algorithms in Optimisation, Simulation and Modelling by : Joachim Stender

Download or read book Genetic Algorithms in Optimisation, Simulation and Modelling written by Joachim Stender and published by IOS Press. This book was released on 1994 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the implementation and applications of genetic algorithms (GA) to the domain of AI.In recent years the trend towards, real world applications is fgaining ground especially in GA. The general purpose nature of GA is examined from an interdiciplinary point of view. Despite the differences that may exist in between representations across domain problems the commonality of in the design of GA is upheld. This work provides an overview of the current developments in Europe a section is devoted to the progrmamming of Parallel Genetic Algorithms (including GAME) and a section on Optimisation and Complex Modelling. Readers: researchers in AI, mathematics and computing.

Recent Advances in Optimal Structural Design

Author : Scott A. Burns
Publisher : ASCE Publications
ISBN 13 : 9780784475249
Total Pages : 396 pages
Book Rating : 4.4/5 (752 download)

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Book Synopsis Recent Advances in Optimal Structural Design by : Scott A. Burns

Download or read book Recent Advances in Optimal Structural Design written by Scott A. Burns and published by ASCE Publications. This book was released on 2002-01-01 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sponsored by the Technical Committee on Structural Design of the Technical Administrative Committee on Analysis and Computation of the Technical Activities Division of the Structural Engineering Institute of ASCE. This report documents the dramatic new developments in the field of structural optimization over the last two decades. Changes in both computational techniques and applications can be seen by developments in computational methods and solution algorithms, the role of optimization during the various stages of structural design, and the stochastic nature of design in relation to structural optimization. Topics include: Ømethods for discrete variable structural optimization; Ødecomposition methods in structural optimization; Østate of the art on the use of genetic algorithms in design of steel structures; Øconceptual design optimization of engineering structures; Øtopology and geometry optimization of trusses and frames; Øevolutionary structural optimization; Ødesign and optimization of semi-rigid framed structures; Øoptimized performance-based design for buildings; Ømulti-objective optimum design of seismic-resistant structures; and Øreliability- and cost-oriented optimal bridge maintenance planning. The book concludes with an extensive bibliography of journal papers on structural optimization published between 1987 and 1999.

Neural Computing For Optimization And Combinatorics

Author : Yoshiyasu Takefuji
Publisher : World Scientific
ISBN 13 : 9814504483
Total Pages : 248 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Neural Computing For Optimization And Combinatorics by : Yoshiyasu Takefuji

Download or read book Neural Computing For Optimization And Combinatorics written by Yoshiyasu Takefuji and published by World Scientific. This book was released on 1996-04-25 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since Hopfield proposed neural network computing for optimization and combinatorics problems, many neural network investigators have been working on optimization problems. In this book a variety of optimization problems and combinatorics problems are presented by respective experts.A very useful reference book for those who want to solve real-world applications, this book contains applications in graph theory, mathematics, stochastic computing including the multiple relaxation, associative memory and control, resource allocation problems, system identification and dynamic control, and job-stop scheduling.

Machine Learning, Optimization, and Data Science

Author : Giuseppe Nicosia
Publisher : Springer Nature
ISBN 13 : 3030645800
Total Pages : 701 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Machine Learning, Optimization, and Data Science by : Giuseppe Nicosia

Download or read book Machine Learning, Optimization, and Data Science written by Giuseppe Nicosia and published by Springer Nature. This book was released on 2021-01-06 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.

Inverse Problems, Design and Optimization - vol. 1

Author :
Publisher : Editora E-papers
ISBN 13 : 8576500299
Total Pages : 365 pages
Book Rating : 4.5/5 (765 download)

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Book Synopsis Inverse Problems, Design and Optimization - vol. 1 by :

Download or read book Inverse Problems, Design and Optimization - vol. 1 written by and published by Editora E-papers. This book was released on with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Industrial Applications of Neural Networks

Author : Ian F. Croall
Publisher : Springer Science & Business Media
ISBN 13 : 3642848370
Total Pages : 302 pages
Book Rating : 4.6/5 (428 download)

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Book Synopsis Industrial Applications of Neural Networks by : Ian F. Croall

Download or read book Industrial Applications of Neural Networks written by Ian F. Croall and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural network technology encompasses a class of methods which attempt to mimic the basic structures used in the brain for information processing. Thetechnology is aimed at problems such as pattern recognition which are difficult for traditional computational methods. Neural networks have potential applications in many industrial areas such as advanced robotics, operations research, and process engineering. This book is concerned with the application of neural network technology to real industrial problems. It summarizes a three-year collaborative international project called ANNIE (Applications of Neural Networks for Industry in Europe) which was jointly funded by industry and the European Commission within the ESPRIT programme. As a record of a working project, the book gives an insight into the real problems faced in taking a new technology from the workbench into a live industrial application, and shows just how it can be achieved. It stresses the comparison between neural networks and conventional approaches. Even the non-specialist reader will benefit from understanding the limitations as well as the advantages of the new technology.

Encyclopedia of Optimization

Author : Christodoulos A. Floudas
Publisher : Springer Science & Business Media
ISBN 13 : 0387747583
Total Pages : 4646 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Encyclopedia of Optimization by : Christodoulos A. Floudas

Download or read book Encyclopedia of Optimization written by Christodoulos A. Floudas and published by Springer Science & Business Media. This book was released on 2008-09-04 with total page 4646 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field. The second edition builds on the success of the former edition with more than 150 completely new entries, designed to ensure that the reference addresses recent areas where optimization theories and techniques have advanced. Particularly heavy attention resulted in health science and transportation, with entries such as "Algorithms for Genomics", "Optimization and Radiotherapy Treatment Design", and "Crew Scheduling".

Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization

Author : Singh, Surjit
Publisher : IGI Global
ISBN 13 : 1522573364
Total Pages : 663 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization by : Singh, Surjit

Download or read book Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization written by Singh, Surjit and published by IGI Global. This book was released on 2019-03-29 with total page 663 pages. Available in PDF, EPUB and Kindle. Book excerpt: ICT technologies have contributed to the advances in wireless systems, which provide seamless connectivity for worldwide communication. The growth of interconnected devices and the need to store, manage, and process the data from them has led to increased research on the intersection of the internet of things and cloud computing. The Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization is a pivotal reference source that provides the latest research findings and solutions for the design and augmentation of wireless systems and cloud computing. The content within this publication examines data mining, machine learning, and software engineering, and is designed for IT specialists, software engineers, researchers, academicians, industry professionals, and students.

Optimization of Large Structural Systems

Author : George I. N. Rozvany
Publisher : Springer Science & Business Media
ISBN 13 : 9401095779
Total Pages : 1201 pages
Book Rating : 4.4/5 (1 download)

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Book Synopsis Optimization of Large Structural Systems by : George I. N. Rozvany

Download or read book Optimization of Large Structural Systems written by George I. N. Rozvany and published by Springer Science & Business Media. This book was released on 2013-11-21 with total page 1201 pages. Available in PDF, EPUB and Kindle. Book excerpt: G.I.N. Rozvany ASI Director, Professor of Structural Design, FB 10, Essen University, Essen, Germany Structural optimization deals with the optimal design of all systems that consist, at least partially, of solids and are subject to stresses and deformations. This inte grated discipline plays an increasingly important role in all branches of technology, including aerospace, structural, mechanical, civil and chemical engineering as well as energy generation and building technology. In fact, the design of most man made objects, ranging from space-ships and long-span bridges to tennis rackets and artificial organs, can be improved considerably if human intuition is enhanced by means of computer-aided, systematic decisions. In analysing highly complex structural systems in practice, discretization is un avoidable because closed-form analytical solutions are only available for relatively simple, idealized problems. To keep discretization errors to a minimum, it is de sirable to use a relatively large number of elements. Modern computer technology enables us to analyse systems with many thousand degrees of freedom. In the optimization of structural systems, however, most currently available methods are restricted to at most a few hundred variables or a few hundred active constraints.

Programming Massively Parallel Processors

Author : David B. Kirk
Publisher : Newnes
ISBN 13 : 0123914183
Total Pages : 519 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Programming Massively Parallel Processors by : David B. Kirk

Download or read book Programming Massively Parallel Processors written by David B. Kirk and published by Newnes. This book was released on 2012-12-31 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. - New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more - Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism - Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing

Advances in Future Computer and Control Systems

Author : David Jin
Publisher : Springer Science & Business Media
ISBN 13 : 3642293905
Total Pages : 648 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Future Computer and Control Systems by : David Jin

Download or read book Advances in Future Computer and Control Systems written by David Jin and published by Springer Science & Business Media. This book was released on 2012-04-12 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: FCCS2012 is an integrated conference concentrating its focus on Future Computer and Control Systems. “Advances in Future Computer and Control Systems” presents the proceedings of the 2012 International Conference on Future Computer and Control Systems(FCCS2012) held April 21-22,2012, in Changsha, China including recent research results on Future Computer and Control Systems of researchers from all around the world.

Artificial Neural Nets and Genetic Algorithms

Author : Andrej Dobnikar
Publisher : Springer Science & Business Media
ISBN 13 : 3709163846
Total Pages : 365 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Artificial Neural Nets and Genetic Algorithms by : Andrej Dobnikar

Download or read book Artificial Neural Nets and Genetic Algorithms written by Andrej Dobnikar and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the contents: Neural networks – theory and applications: NNs (= neural networks) classifier on continuous data domains– quantum associative memory – a new class of neuron-like discrete filters to image processing – modular NNs for improving generalisation properties – presynaptic inhibition modelling for image processing application – NN recognition system for a curvature primal sketch – NN based nonlinear temporal-spatial noise rejection system – relaxation rate for improving Hopfield network – Oja's NN and influence of the learning gain on its dynamics Genetic algorithms – theory and applications: transposition: a biological-inspired mechanism to use with GAs (= genetic algorithms) – GA for decision tree induction – optimising decision classifications using GAs – scheduling tasks with intertask communication onto multiprocessors by GAs – design of robust networks with GA – effect of degenerate coding on GAs – multiple traffic signal control using a GA – evolving musical harmonisation – niched-penalty approach for constraint handling in GAs – GA with dynamic population size – GA with dynamic niche clustering for multimodal function optimisation Soft computing and uncertainty: self-adaptation of evolutionary constructed decision trees by information spreading – evolutionary programming of near optimal NNs

Optimization of Large Structural Systems

Author : G. I. N. Rozvany
Publisher : Springer Science & Business Media
ISBN 13 : 9780792321293
Total Pages : 594 pages
Book Rating : 4.3/5 (212 download)

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Book Synopsis Optimization of Large Structural Systems by : G. I. N. Rozvany

Download or read book Optimization of Large Structural Systems written by G. I. N. Rozvany and published by Springer Science & Business Media. This book was released on 1993 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the second of two volumes which examine structural optimization of large structural systems. Topics covered in these volumes include optimality criteria and topology optimization, decomposition methods and approximation concepts, neural networks and parallel processing.

Advanced Aerospace Materials

Author : Haim Abramovich
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 311079893X
Total Pages : 583 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Advanced Aerospace Materials by : Haim Abramovich

Download or read book Advanced Aerospace Materials written by Haim Abramovich and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-04-27 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is for engineers and students of aerospace, materials and mechanical engineering. It covers the transition from aluminum to composite materials for aerospace structures and includes advanced analyses used in industries. New in the 2nd Edition is material on morphing structures, large deflection plates, nondestructive methods, vibration correlation technique for shear loaded plates, vibrations to measure physical properties, and more.

Surrogate-Based Modeling and Optimization

Author : Slawomir Koziel
Publisher : Springer Science & Business Media
ISBN 13 : 1461475511
Total Pages : 413 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Surrogate-Based Modeling and Optimization by : Slawomir Koziel

Download or read book Surrogate-Based Modeling and Optimization written by Slawomir Koziel and published by Springer Science & Business Media. This book was released on 2013-06-06 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contemporary engineering design is heavily based on computer simulations. Accurate, high-fidelity simulations are used not only for design verification but, even more importantly, to adjust parameters of the system to have it meet given performance requirements. Unfortunately, accurate simulations are often computationally very expensive with evaluation times as long as hours or even days per design, making design automation using conventional methods impractical. These and other problems can be alleviated by the development and employment of so-called surrogates that reliably represent the expensive, simulation-based model of the system or device of interest but they are much more reasonable and analytically tractable. This volume features surrogate-based modeling and optimization techniques, and their applications for solving difficult and computationally expensive engineering design problems. It begins by presenting the basic concepts and formulations of the surrogate-based modeling and optimization paradigm and then discusses relevant modeling techniques, optimization algorithms and design procedures, as well as state-of-the-art developments. The chapters are self-contained with basic concepts and formulations along with applications and examples. The book will be useful to researchers in engineering and mathematics, in particular those who employ computationally heavy simulations in their design work.

Soft Computing Approach for Mathematical Modeling of Engineering Problems

Author : Ali Ahmadian
Publisher : CRC Press
ISBN 13 : 1000432440
Total Pages : 223 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Soft Computing Approach for Mathematical Modeling of Engineering Problems by : Ali Ahmadian

Download or read book Soft Computing Approach for Mathematical Modeling of Engineering Problems written by Ali Ahmadian and published by CRC Press. This book was released on 2021-09-02 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies, the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds • Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models • Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state’s transition functions • Assists readers to become familiar with many soft numerical methods to simulate the solution function’s behavior This book is intended for system specialists who are interested in dynamic systems that operate at different time scales. The book can be used by engineering students, researchers and professionals in control and finite element fields as well as all engineering, applied mathematics, economics and computer science interested in dynamic and uncertain systems. Ali Ahmadian is a Senior Lecturer at the Institute of IR 4.0, The National University of Malaysia. Soheil Salahshour is an associate professor at Bahcesehir University.