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Sigma-Pi Cascade Extended Hybrid Neural Network

Journal of Advanced computational Intelligence and Intelligent Informatics 2002年第3期6卷 126-134页

作者： Iyoda, Eduardo Masato Hirota, Kaoru Zuben, Fernando J. Von Department of Computational Intelligence and Systems Science Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology 4259 Nagatsuta Midori-ku Yokohama226-8502 Japan Department of Computer Engineering and Industrial Automation School of Electrical and Computer Engineering State University of Campinas P.O. Box 6101 Campinas-SP13083-970 Brazil

A nonparametric neural architecture called the Sigma-Pi Cascade extended Hybrid Neural Network σπ-(CHNN) is proposed to extend approximation capabilities in neural architectures such as Projection Pursuit Learning (PPL) and Hybrid Neural Networks (HNN). Like PPL and HNN, σπ-CHNN also uses distinct activation functions in its neurons but, unlike these previous neural architectures, it may consider multiplicative operators in its hidden neurons, enabling it to extract higher-order information from given data. σπ-CHNN uses arbitrary connectivity patterns among neurons. An evolutionary learning algorithm combined with a conjugate gradient algorithm is proposed to automatically design the topology and weights of σπ-CHNN. σπ-CHNN performance is evaluated in five benchmark regression problems. Results show that σπ-CHNN provides competitive performance compared to PPL and HNN in most problems, either in computational requirements to implement the proposed neural architecture or in approximation accuracy. In some problems, σπ-CHNN reduces the approximation error on the order of 10-1 compared to PPL and HNN, whereas in other cases it achieves the same approximation error as these neural architectures but uses a smaller number of hidden neurons (usually 1 hidden neuron less than PPL and HNN). © 2002 Fuji Technology Press. All rights reserved.

关键词： Genetic algorithms

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The tracefile testbed - a community repository for identifying and retrieving HPC performance data

The tracefile testbed - a community repository for identifyi...

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International Conference on Parallel Processing (ICPP)

作者： K. Ferschweiler S. Harrah D. Keon M. Calzarossa D. Tessera C. Pancake Northwest Alliance for Computational Science & Engineering Oregon State University USA Department of Computer Science Oregon State University USA Dipartimento di Informatica e Sistemistica Università di Pavia Italy

High-performance computing (HPC) programmers utilize tracefiles, which record program behavior in great detail, as the basis for many performance analysis activities. The lack of generally accessible tracefiles has forced programmers to develop their own testbeds in order to study the basic performance characteristics of the platforms they use. Since tracefiles serve as input to performance analysis and performance prediction tools, tool developers have also been hindered by the lack of a testbed for verifying and fine-tuning tool functionality, We created a community repository that meets the needs of both application and tool developers. In this paper, we describe how the tracefile testbed was designed to facilitate flexible searching and retrieval of tracefiles based on a variety of characteristics. Its Web-based interface provides a convenient mechanism for browsing, downloading, and uploading collections of tracefiles and tracefile segments, as well as viewing statistical summaries of performance characteristics.

关键词： Testing Information retrieval Performance analysis Programming profession Monitoring Hardware Instruments Data engineering computer science computer applications

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Component based problem solving environment 8th

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8th International Euro-Par Conference on Parallel Processing, Euro-Par 2002

作者： Hey, A. Papay, J. Keane, A.J. Cox, S.J. EPSRC Polaris House North Star Avenue SwindonSN2 1ET United Kingdom Department ofElectronics and Computer Science University ofSouthampton SouthamptonSO17 1BJ United Kingdom Computational Engineering and Design Centre University ofSouthampton SouthamptonSO17 1BJ United Kingdom

ISBN: (纸本)3540440496

The aim ofthe project described in this paper was to use modern software component technologies such as CORBA, Java and XML for the development of key modules which can be used for the rapid prototyping ofapplication specific Problem Solving Environments (PSE). The software components developed in this project were a user interface, scheduler, monitor, various components for handling interrupts, synchronisation, task execution and software for photonic crystal simulations. The key requirements for the PSE were to provide support for distributed computation in a heterogeneous environment, a user friendly interface for graphical programming, intelligent resource management, object oriented design, a high level ofp ortability and software maintainability, reuse oflegacy code and application ofmiddlew are technologies in software design. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Common object request broker architecture (CORBA)

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Logic-based granular prototyping

Logic-based granular prototyping

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IEEE Annual International computer Software and Applications Conference (COMPSAC)

作者： A. Bargiela W. Pedrycz K. Hirota Department of Computing and Mathematics Nottingham Trent University Nottingham UK Systems Research Institute Polish Academy of Sciences Warsaw Poland Department of Electrical and Computer Engineering University of Alberta Edmonton Canada Department of Computational Intelligence and Systems Science Interdisciplinary Graduate School of Science and Engineering Presto JST Tokyo Institute of Technology Yokohama Japan

A fuzzy logic based similarity measure is introduced as a criterion for the identification of structure in data. An important characteristic of the proposed approach is that cluster prototypes are formed and evaluated in the course of the optimization without any a-priori assumptions about the number of clusters. The intuitively straightforward compound optimization criterion of maximizing the overall similarity between data and the prototypes while minimizing the similarity between the prototypes is adopted. It is shown that the partitioning of the pattern space obtained in the course of the optimization is more intuitive than the one obtained for the standard FCM. The local properties of clusters (in terms of the ranking order of features in the multidimensional pattern space) are captured by the weight vector associated with each cluster prototype. The weight vector is then used for the construction of interpretable information granules.

关键词： Prototypes Data engineering Design engineering Fuzzy logic Data mining Mathematics computational intelligence Electric variables measurement Pattern recognition computer applications

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Fast Full Wave Analysis of A Cylindrical Antenna Using A Single Integral with An Exact Kernel

Fast Full Wave Analysis of A Cylindrical Antenna Using A Sin...

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2002 3rd International Conference on Microwave and Millimeter Wave Technology

作者： Chan-Ping Lim Le-Wei Li Er-Ping Li Computational Electromagnetics and Electronics Division Institute of High Performance Computing 1 Science Park Road Department of Electrical and Computer Engineering and Singapore-MIT Alliance National University of Singapore 10 Kent Ridge CrescentSingapore 119260.

ISBN: (纸本)078037486X

This paper presents a fast approach in the method of moments(MoM) analysis so as to obtain the non-uniform current distributions of cylindrical antennas with electrically large *** oblique incident field in its general form and a delta-gap source are considered in the formulation of non-uniform current distributions. In the Galerkin's MoM procedure,the Fourier cosine series is considered as the entire domain basis function *** this formulation,the kernel is represented by a series of weighted spherical Hankel functions of the second kind and the convergence of this series is *** the result,the computation time is *** package is used to obtain and plot the current distributions along the cylindrical antennas.

关键词： Dipole Antennas Cylindrical Antennas Electromagnetic Radiation Method of Moment and Current distribution

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Interoperable web services for computational portals

Interoperable web services for computational portals

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2002 IEEE/ACM Conference on Supercomputing, SC 2002

作者： Pierce, Marlon Fox, Geoffrey Youn, Choonhan Mock, Steve Mueller, Kurt Balsoy, Ozgur Community Grid Labs Indiana University United States 501 N. Morton Street BloomingtonIN47404 United States Department of Electrical Engineering and Computer Science Syracuse University and Community Grid Labs Indiana University United States University of California at San Diego San Diego Supercomputer Center United States UC San Diego MC 0505 9500 Gilman Drive San DiegoCA92093-0505 United States School of Computational Science and Information Technology Florida State University and Community Grid Labs Indiana University United States

ISBN: (纸本)076951524X

computational web portals are designed to simplify access to diverse sets of high performance computing resources, typically through an interface to computational Grid tools. An important shortcoming of these portals is their lack of interoperable and reusable services. This paper presents an overview of research efforts undertaken by our group to build interoperating portal services around a Web Services model. We present a comprehensive view of an interoperable portal architecture, beginning with core portal services that can be used to build Application Web Services, which in turn may be aggregated and managed through portlet containers. © 2002 IEEE.

关键词： Portals

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A wavelet-based PCA reduction for hyperspectral imagery

A wavelet-based PCA reduction for hyperspectral imagery

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： S. Kaewpijit J. Le Moigne T. El-Ghazawi School of Computational Sciences George Mason University Fairfax VA USA Applied Information Science Branch Code 935 Goddard Space and Flight Center NASA Greenbelt MD USA Department of Electrical and Computer Engineering George Washington University Washington D.C. DC USA

Hyperspectral Imagery can provide very rich information on land cover classes. However, it also presents many challenges in data analysis and interpretation, due to the large amount of data collected. For example, conventional methods for land use and land cover classifications may not be applicable, due to "the curse of dimensionality." Therefore, these conventional methods may need a preprocessing step to transform high dimensional data to low dimensional data, by eliminating data redundancy. Due to its conceptual simplicity, principal component analysis (PCA) has been widely used for decades to reduce dimensionality. It is a useful technique if the spectral class structure of the transformed data is such that it is distributed along the first few axes. Otherwise, the transformed data may be similar to the original data. In such a case, the wavelet decomposition technique might be a better approach. Wavelet decomposition can reduce hyperspectral data in the spectral domain for each pixel. This will not only reduce the data volume, but will also preserve the distinction among spectral signatures that is useful for most pixel-based classifiers. This characteristic is related to the intrinsic property of wavelet transforms that preserve high- and low-frequency features during the signal decomposition, and therefore preserve peaks and valleys found in typical spectra. In general, most classification errors occur at the boundary between classes. Since wavelet decomposition is applied to each local pixel, a wavelet-based reduction might not well differentiate classes among neighborhood pixels in the spatial domain. PCA, however, can provide more local spatial information among neighborhood class pixels than wavelet.

关键词： Principal component analysis Hyperspectral imaging Hyperspectral sensors Wavelet domain Spectroscopy Information science NASA Data analysis Redundancy Wavelet transforms

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Performance of scheduling scientific applications with adaptive weighted factoring 15

Performance of scheduling scientific applications with adapt...

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15th International Parallel and Distributed Processing Symposium, IPDPS 2001

作者： Banicescu, I. Velusamy, V. Department of Computer Science NSF Engineering Research Center for Computational Systems Mississippi State University United States

ISBN: (纸本)0769509908

Dynamic scheduling algorithms are a powerful tool towards performance improvement via load balancing scientific applications in heterogeneous environments. However, these scheduling techniques employ heuristics that require a priori knowledge about workload via profiling resulting in higher overhead as problem sizes and number of processors increase. In addition, load imbalance may appear only at run-time, making profiling work tedious and sometimes even obsolete. This paper reports on performance improvements obtained by integrating a recently proposed dynamic loop scheduling technique that addresses these concerns, the Adaptive Weighted Factoring, into two scientific applications. The first application involves computational field simulation on unstructured grids, and the second one is N-body simulation. Reported experimental results on computational field simulation problems using unstructured grids and ongoing work on N-body simulations confirm the benefits of using this methodology, and emphasize its high potential for future integration in other scientific applications that exhibit substantial performance degradation due to load imbalance. © 2001 IEEE.

关键词： Scheduling algorithms

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The XCAT science Portal 01

The XCAT Science Portal

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2001 ACM/IEEE Conference on Supercomputing, SC 2001

作者： Krishnan, Sriram Bramley, Randall Gannon, Dennis Govindaraju, Madhusudhan Indurkar, Rahul Slominski, Aleksander Temko, Benjamin Alameda, Jay Alkire, Richard Drews, Timothy Webb, Eric Department of Computer Science Indiana University BloomingtonIN United States National Computational Science Alliance IL United States Department of Chemical Engineering University of Illinois Urbana-ChampaignIL United States

ISBN: (纸本)158113293X

The design and prototype implementation of the XCAT Grid science Portal is described in this paper. The portal lets grid application programmers easily script complex distributed computations and package these applications with simple interfaces for others to use. Each application is packaged as a "notebook"which consists of web pages and editable parameterized scripts. The portal is a workstation-based specialized "personal"web server, capable of executing the application scripts and launching remote grid applications for the user. The portal server can receive event streams published by the application and grid resource information published by Network Weather Service (NWS) [32] or Autopilot [15] sensors. Notebooks can be "published"and stored in web based archives for others to retrieve and modify. The XCAT Grid science Portal has been tested with various applications, including the distributed simulation of chemical processes in semiconductor manufacturing and collaboratory support for X-ray crystallographers. © 2001 ACM.

关键词： Semiconductor device manufacture

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A trajectory approach to causality

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Studia Logica 2001年第3期67卷 385-401页

作者： Jauregui, Victor Pagnucco, Maurice Foo, Norman Knowledge Systems Group School of Computer Science and Engineering University of New South Wales NSW 2052 Australia Computational Reasoning Group Department of Computing Macquarie University NSW 2109 Australia

In this paper we propose a new approach to address the ramification problem in common-sense reasoning about action and change. We contrast the methods of McCain and Turner [6], Thielscher [10] and Sandewall [8] and, based on some of the limitations they encounter, we introduce a trajectory-based approach which keeps a history of the states through which a system evolves to characterise its dynamical state. We furnish an underlying state-transition semantics and a logic that admits an expressive, dynamical account of some typical scenarios which encounter modelling difficulties in the other approaches mentioned. © 2001 Kluwer Academic Publishers.

关键词： Causality Commonsense Reasoning Ramification Problem Reasoning about Action and Change Trajectory Semantics

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