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1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998

作者： Zakaria, Gaguk Beex, A.A. Hughes Network Systems Germantown MD 20876 United States Systems Group - DSP Research Laboratory Bradley Department of Electrical and Computer Engineering VIRGINIA TECH Blacksbwrg VA 24061 United States

ISBN: (纸本)0780344286

We propose the adaptive cascade recursive least squares (CRLS-SA) algorithm for the estimation of linear prediction, or AR model, coefficients. The CRLS-SA algorithm features low computational complexity since each section is adapted independently from the other sections. It is shown that the CRLS-SA algorithm can yield AR coefficient estimates closer to the true values, for some known signals, than the widely used autocorrelation method. The CRLS-SA converges faster to the true values of the model, which is critically important for estimation from short data records. While the computational effort of CRLS-SA is a factor of 3 to 4 higher than that for the autocorrelation method, the improvement in performance yields a viable alternative for a number of applications. © 1998 IEEE.

关键词： Autocorrelation

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Cascade recursive least squares with subsection adaptation for AR parameter estimation

Cascade recursive least squares with subsection adaptation f...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： G. Zakaria A.A. Beex Systems Group DSP Research Laboratory The Bradley Department of Electrical and Computer Engineering Virginia Technology Blacksburg VA USA Hughes Network Systems Germantown MD USA Bradley Department of Electrical and Computer Engineering Virginia Technology Blacksburg VA USA

关键词： Least squares approximation Parameter estimation Autocorrelation Filters Bit rate Speech coding Recursive estimation Predictive models Resonance light scattering Digital signal processing

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Roles of neural and evolutionary computing in intelligent software systems

British Telecom technology journal

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British Telecom technology journal 1996年第4期14卷 46-54页

作者： Tsui, K.C. Azvine, B. Plumbley, M. Hong Kong Polytechnic University of Essex Kings College University of London BT Laboratories Manchester University Dynamics and Control Research Group Engineering Department Manchester University Contr. and Instrum. Research Group Staffordshire University Intelligent Systems Research Group Churchill College Cambridge United Kingdom Thorn-EMI Ctrl. Res. Laboratories Cambridge Univ. Eng. Department Centre for Neural Networks King's College London Department of Computer Science Electron. and Electrical Engineering King's College London United Kingdom European Neural Network Society

This paper describes two computing paradigms known as neural computing and evolutionary computing, and their potential contribution to building intelligent software systems. The paper begins by giving a brief introduction to the origins of each paradigm. Then two sections introduce the basic principles, and identify the role of each paradigm in intelligent system design. Each section ends with a number of applications that have been or are being investigated. These include connection admission control, modem communication, adaptive model-based control, face and handwriting recognition, frequency assignment, help-desk scheduling, financial time-series prediction, face recognition and evolving agent behavior. A section introduces the idea of using communications theory to design neural networks and the paper concludes with the authors' views on the future of neural and evolutionary computing for intelligent software systems.

关键词： Artificial intelligence

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Optimization of solder paste printability with laser inspection technique

Optimization of solder paste printability with laser inspect...

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IEEE/CHMT(CPMT) International Electronics Manufacturing Technology Symposium

作者： T. Okura M. Kanai S. Ogata T. Takei H. Takakusagi PCB Engineering Department Computer and Network Systems Group OKI Electric Industry Company Limited Takasaki Gunma Japan PCB Eng. Dept. OKI Electr. Ind. Co. Ltd. Gumma Japan

This paper describes an evaluation technique for solder paste printability using a solder paste inspection system and optimization of printing parameters. In a Surface Mount Assembly (SMA), it is very important to evaluate printability of solder paste precisely, because printability of solder paste directly influences reflow soldering quality. We established quite reliable inspection criteria for print quantity of solder paste. So it was found that about 90% of reflow soldering defects could be reduced by prevention of printing defects. Furthermore, since package types have been varied in a SMA, high soldering quality demands stable printability for all patterns. This paper presents a printability evaluation adopted procedure based on the quality engineering (TAGUCHI method). As a result of optimizing squeegee shape and printer condition by this evaluation method, printability was improved better than 20% in the production process. And optimization of solder paste and stencil added to printer condition resulted in good printability for 0.3 mm pitch patterns on the optimum condition.

关键词： Inspection Printing Reflow soldering Printers Assembly Packaging Optimization methods Shape Production

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Integrating evolutionary computation with neural networks

Integrating evolutionary computation with neural networks

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Electronic Technology Directions to the Year 2000

作者： E. Vonk L.C. Jain L.P.J. Veelenturf R. Hibbs Control Systems and Computer Engineering Group BSC Laboratory for Network Theory Department of Electrical Engineering University of Twente Enschede Netherlands Knowledge-based Engineering Systems Group School of Electronic Engineering University of South Australia Adelaide Australia

There is a tremendous interest in the development of the evolutionary computation techniques as they are well suited to deal with optimization of functions containing a large number of variables. This paper presents a brief review of evolutionary computing techniques. It also discusses briefly the hybridization of evolutionary computation and neural networks and presents a solution of a classical problem using neural computing and evolutionary computing techniques.< >

关键词： Evolutionary computation Neural networks Biological cells Genetic programming Genetic algorithms systems engineering and theory computer networks Knowledge engineering Genetic mutations Control systems

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Neural network applications

Neural network applications

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Electronic Technology Directions to the Year 2000

作者： E. Vonk L.C. Jain L.P.J. Veelenturf Control Systems and Computer Engineering Group BSC Laboratory for Network Theory Department of Electrical Engineering University of Twente Enschede Netherlands Knowledge-based Engineering System Group School of Electronic Engineering University of South Australia Adelaide Australia

Artificial neural networks, also called neural networks, have been used successfully in many fields including engineering, science and business. This paper presents the implementation of several neural network simulat... 详细信息

关键词： Neural networks Neurons Artificial neural networks systems engineering and theory Hopfield neural networks Process control Knowledge engineering Supervised learning Clustering algorithms Application software

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Automatic generation of a neural network architecture using evolutionary computation

Automatic generation of a neural network architecture using ...

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Electronic Technology Directions to the Year 2000

作者： E. Vonk L.C. Jain L.P.J. Veelenturf R. Johnson Control Systems and Computer Engineering Group BSC Laboratory for Network Theory Department of Electrical Engineering University of Twente Enschede Netherlands Knowledge-based Engineering System Group School of Electronic Engineering University of South Australia Adelaide Australia Weapons Systems Division Defence Science and Technology Organisation Salisbury SA Australia

This paper reports the application of evolutionary computation in the automatic generation of a neural network architecture. It is a usual practice to use trial and error to find a suitable neural network architecture. This is not only time consuming but may not generate an optimal solution for a given problem. The use of evolutionary computation is a step towards automation in architecture generation. In this paper a brief introduction to the field is given as well as an implementation of automatic neural network generation using genetic programming.< >

关键词： Neural networks computer architecture Evolutionary computation Genetic programming network topology Genetic algorithms Biological cells systems engineering and theory Knowledge engineering Australia

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DETERMINISTIC RULE-BASED TRAFFIC DESCRIPTORS FOR BROAD-BAND ISDN - WORST-CASE BEHAVIOR AND ITS IMPACT ON CONNECTION ACCEPTANCE CONTROLS

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INTERNATIONAL JOURNAL OF COMMUNICATION systems 1995年第2期8卷 91-109页

作者： DOSHI, BT HO 3M-335 AT&T Bell Laboratories Holmdel NJ 07733 U.S.A. Bharat T. Doshi is a supervisor in the Performance Analysis Department at AT&T Bell Laboratories Holmdel New Jersey. His group provides analytic support for a variety of AT&T's information management systems telecommunications systems and networks and computer networks in the areas of performance engineering capacity planning and congestion management. His group also conducts research in integrated communication systems and networks. Recent work has concentrated on frame relay networks ATMibroadband ISDN wireless networking and PCS. The focus is in the areas of error controls flow and congestion controls communication protocols routeing strategies network design and fault-tolerant operation. Bharat's research interests include queueing theory and teletraffic theory and their applications to computer and communications systems. He has over sixty publications in a variety of technical journals. Bharat received his B.Tech. from ITT Bombay in 1970 and an M.S. and Ph.D. in Operations Research from Cornell University in 1973 and 1974 respectively. Bharat is member of IEEE and ORSA and Associate Editor of the OR Letters High Speed Networking and Queueing Systems Journals.

Deterministic rule based traffic descriptors in general, and leaky bucket based (LBB) traffic descriptors in particular, offer many advantages over statistical descriptors for specifying and monitoring traffic in the ATM based broadband ISDN (BISDN). However, these traffic descriptors do not specify the traffic pattern uniquely. Thus, acceptance of a connection request with specific traffic descriptor parameter values implies that the network has agreed to guaranteeing the quality of service (QOS) for the worst case traffic compliant with the traffic descriptor (and hence allowed by the monitor). This poses challenges which have not been addressed adequately. Two of the important ones are: (i) definition of the worst case behaviour and characterization of the worst case traffic compliant with the traffic descriptor;(ii) connection acceptance controls (CAC) for the worst case traffic sources compliant with the traffic descriptors. In this paper we address these questions for leaky bucket based (LBB) traffic descriptors. The focus is on the first problem. The implications on the second problem are discussed briefly. The performance measure and QOS requirements are in terms of the cell loss ratios. We first define the worst case behaviour for homogeneous and heterogeneous environments in terms of collective cell loss ratio (CLR)) from the multiplexer. We consider both the unbuffered and buffered cases. However, most of the results here are for the unbuffered case. For the case of an unbuffered multiplexer and homogeneous source environment, we show that a simple on-off source represents the worst case behaviour of an LBB source. In a heterogeneous source traffic environment, the on-off behaviour is the worst only in a limited sense and the use of a collective measure results in anomalous relationships between the source behaviour and the CLR. A more appropriate measure should be based on individual cell loss ratios or on the maximum of the individual CLRs. We analyse L

关键词： ATM CELL LOSS RATIO UNBUFFERED MULTIPLEXER BUFFERED MULTIPLEXER

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Efficient two-dimensional ARX modeling

Efficient two-dimensional ARX modeling

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IEEE International Conference on Image Processing

作者： G.-O. Glentis C.H. Slump O.E. Herrmann Department of Electrical Engineering Control Systems and Computer Engineering Group BSC Laboratory for Network Theory and VLSI-Design University of Twente Enschede Netherlands

In this paper a fast spatial adaptive algorithm is presented for the efficient least squares (LS), autoregressive exogenous (ARX), two-dimensional (2-D) modeling. Filter masks of general boundaries are allowed. Efficient space updating recursions are developed by exploiting the spatial shift invariance property of the 2-D data set.< >

关键词： Least squares methods Finite impulse response filter Image edge detection Equations Shape Vectors Control systems Control engineering computing computer networks systems engineering and theory

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A versatile algorithm for two-dimensional symmetric noncausal modeling

A versatile algorithm for two-dimensional symmetric noncausa...

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IEEE International Conference on Image Processing

作者： G.-O. Glentis C.H. Slump O.E. Herrmann Department of Electrical Engineering Control Systems and Computer Engineering Group (BSC) Laboratory for Network Theory and VLSI-Design University of Twente Enschede Netherlands

In this paper a novel algorithm is presented for the efficient two-dimensional (2-D) symmetric noncausal finite impulse response (FIR) filtering and autoregressive (AR) modeling. Symmetric filter masks of general boundaries are allowed. The proposed algorithm offers the greatest maneuverability in the 2-D index space in a computational efficient way. This flexibility can be taken into advantage if the shape of the 2-D mask is not a priori known and has to be dynamically configured.< >

关键词： Finite impulse response filter Nonlinear filters Autocorrelation Equations Vectors Virtual manufacturing Filtering algorithms Control system synthesis Control engineering computing computer networks

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