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Hierarchical genetic algorithm for near optimal feedforward neural network design.

International journal of neural systems 2002年第1期12卷 31-43页

作者： Yen, Gary Lu, Haiming Intelligent Systems and Control Laboratory School of Electrical and Computer Engineering Stillwater 74078 OK United States

In this paper, we propose a genetic algorithm based design procedure for a multi layer feed forward neural network. A hierarchical genetic algorithm is used to evolve both the neural networks topology and weighting parameters. Compared with traditional genetic algorithm based designs for neural networks, the hierarchical approach addresses several deficiencies, including a feasibility check highlighted in literature. A multi objective cost function is used herein to optimize the performance and topology of the evolved neural network simultaneously. In the prediction of Mackey Glass chaotic time series, the networks designed by the proposed approach prove to be competitive, or even superior, to traditional learning algorithms for the multi layer Perceptron networks and radial basis function networks. Based upon the chosen cost function, a linear weight combination decision making approach has been applied to derive an approximated Pareto optimal solution set. Therefore, designing a set of neural networks can be considered as solving a two objective optimization problem.

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Hierarchical rank density genetic algorithm for radial-basis function neural network design

Hierarchical rank density genetic algorithm for radial-basis...

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2002 Congress on Evolutionary Computation, CEC 2002

作者： Yen, Gary G. Lu, Haiming Intelligent Systems and Control Laboratory School of Electrical and Computer Engineering Oklahoma State University Stillwater OK 74078-5032 United States

ISBN: (纸本)0780372824

In this paper, we propose a genetic algorithm based design procedure for a radial-basis function neural network. A hierarchical rank density genetic algorithm (HRDGA) is used to evolve both the neural network's topology and parameters. In addition, the rank-density based fitness assignment technique is used to optimize the performance and topology of the evolved neural network to deal with the confliction between the training performance and network complexity. Instead of producing a single optimal network, HRDGA provides a set of near-optimal neural networks to the designers or the decision makers so that they can have more flexibility for the final decision-making based on their preferences. In terms of searching for a near-complete set of candidate networks with high performances, the networks designed by the proposed algorithm prove to be competitive, or even superior, to three selected traditional radial-basis function networks for predicting Mackey-Glass chaotic time series. © 2002 IEEE.

关键词： Genetic algorithms

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Facial feature extraction using genetic algorithm

Facial feature extraction using genetic algorithm

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2002 Congress on Evolutionary Computation, CEC 2002

作者： Yen, Gary G. Nithianandan, Nethrie Intelligent Systems and Control Laboratory School of Electrical and Computer Engineering Oklahoma State University Stillwater OK 74074-5032 United States

ISBN: (纸本)0780372824

An automatic facial feature extraction method is presented in this paper. The method is based on the edge density distribution of the image. In the preprocessing stage a face is approximated to an ellipse, and a genetic algorithm is applied to search for the best ellipse region match. In the feature extraction stage, the genetic algorithm is applied to extract the facial features, such as the eyes, nose and mouth, in the predefined sub regions. The simulation results validates that the proposed method is capable of automatically extracting features from various video images effectively under natural lighting environments and in the presence of certain amount of artificial noise and of multi-face oriented with angles. © 2002 IEEE.

关键词： Genetic algorithms

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Stochastic Cramér-Rao bound for direction estimation in unknown noise fields

Stochastic Cramér-Rao bound for direction estimation in unk...

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作者： Gershman, A.B. Stoica, P. Pesavento, M. Larsson, E.G. McMaster University Communications Research Laboratory Department of Electrical and Computer Engineering Hamilton Ont. Canada McMaster University Signal Theory Group Ruhr University Department of Electrical and Computer Engineering Bochum Germany Uppsala University Department of Systems and Control Uppsala Sweden

The stochastic Cramér-Rao bound (CRB) plays an important role in array processing because several advanced high-resolution direction-of-arrival (DOA) estimation methods are known to achieve this bound asymptotically. In the paper, the stochastic CRB on the DOA estimation accuracy is studied in the general case of an arbitrary unknown noise field parameterised by a vector of unknowns. Explicit closed-form expressions for the CRB are derived and its properties are examined theoretically and by practically relevant numerical examples.

关键词： Signal processing

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Input reconstruction by means of system inversion: Application to fault detection and isolation 15th

Input reconstruction by means of system inversion: Applicati...

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15th World Congress of the International Federation of Automatic control, 2002

作者： Szigeti, F. Bokor, J. Edelmayer, A. Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 BudapestH-1111 Hungary Department of Control Engineering Faculty of Engineering University of Los Andes Mérida A.P. 11 La Hechicera Venezuela

ISBN: (纸本)9783902661746

This paper attempts to look at the fundamental problem of fault detection and isolation (FDI) in nonlinear systems. Using the idea of input reconstruction by means of dynamic inversion the authors first discuss the properties of input (or fault) observability in linear systems. The extension of the results to nonlinear systems as well as the mathematical conditions of the calculation of the inverse system, which provides the inverse in finite algorithmic steps, are given. The applicability of the inversion process to fault reconstruction in nonlinear systems is demonstrated. Copyright © 2002 IFAC.

关键词： Fault detection

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Quantitative measures of the accuracy, comprehensibility, and completeness of a fuzzy expert system

Quantitative measures of the accuracy, comprehensibility, an...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Phayung Meesad G.G. Yen Intelligent Systems and Control Laboratory Electrical and Computer Engineering Oklahoma State University USA

Using optimization tools such as genetic algorithms to construct a fuzzy expert system (FES), focusing only on its accuracy without considering comprehensibility may result in a system that is not easy to understand or the so called a black box model. To exploit the transparency features of FESs for explanation in higher-level knowledge representation, a FES should provide high comprehensibility while preserving its accuracy. The completeness of fuzzy sets and rule structures should also be considered to guarantee that every data point has a response output. This paper proposes some quantitative measures to determine the degree of the accuracy, comprehensibility, and completeness of FESs. These quantitative measures are then used as a fitness function for a genetic algorithm in an optimally built FES.

关键词： Hybrid intelligent systems Knowledge representation Genetic algorithms Fuzzy systems Predictive models Intelligent systems Intelligent control control system synthesis Laboratories Genetic engineering

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Nonlinear analysis and control of a continuous fermentation process

Nonlinear analysis and control of a continuous fermentation ...

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作者： Szederkényi, G. Kristensen, N.R. Hangos, K.M. Bay Jørgensen, S. Systems and Control Research Laboratory Computer and Automation Institute HAS P.O. Box 63 H-1518 Budapest Hungary Department of Chemical Engineering Technical University of Denmark DK-2800 Lyngby Denmark

Different types of nonlinear controllers are designed and compared for a simple continuous bioreactor operating near optimal productivity. This operating point is located close to a fold bifurcation point. Nonlinear analysis of stability, controllability and zero dynamics is used to investigate open-loop system properties, to explore the possible control difficulties and to select the system output to be used in the control structure. A wide range of controllers are tested including pole placement and LQ controllers, feedback and input-output linearization controllers and a nonlinear controller based on direct passivation. The comparison is based on time-domain performance and on investigating the stability region, robustness and tuning possibilities of the controllers. controllers using partial state feedback of the substrate concentration and not directly depending on the reaction rate are recommended for the simple fermenter. Passivity based controllers have been found to be globally stable, not very sensitive to the uncertainties in the reaction rate and controller parameter but they require full nonlinear state feedback. © 2002 Published by Elsevier Science Ltd.

关键词： Fermentation

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Real-time reconfigurable control system design using on-line neural estimator

Real-time reconfigurable control system design using on-line...

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International Joint Conference on Neural Networks (IJCNN)

作者： Liang-Wei Ho G.G. Yen Intelligent Systems and Control Laboratory School of Electrical and Computer Engineering Oklahoma State University Stillwater OK USA

The growing demand in system reliability and survivability under failures has urged ever-increasing research effort on the development of fault diagnosis and accommodation. In this paper, the on-line fault tolerant control problem for dynamic systems under unanticipated failures is investigated from a realistic point of view without any specific assumption on type of system dynamical structure or failure scenarios. The sufficient condition for system on-line stability under catastrophic failures has been derived using the discrete-time Lyapunov stability theory. Based upon the existing control theory and the modern intelligent techniques, an on-line fault accommodation control strategy is proposed to deal with the desired trajectory-tracking problems for systems suffering from various unknown and unanticipated catastrophic failures. To investigate the feasibility of the developed technique for unanticipated fault accommodation in real hardware under the real-time environment, an on-line fault tolerant control test bed has been constructed to validate the proposed technology. Both on-line simulations and the real-time experiment show encouraging results and promising futures of on-line real-time fault tolerant control based solely upon insufficient information of the system dynamics and the failure modes.

关键词： Real time systems control systems Fault tolerant systems Reliability Fault diagnosis Sufficient conditions Stability Lyapunov method control theory Hardware

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Adaptive critic fault tolerant control using dual heuristic programming

Adaptive critic fault tolerant control using dual heuristic ...

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International Joint Conference on Neural Networks (IJCNN)

作者： G.G. Yen P.G. Lima Intelligent Systems and Control Laboratory School of Electrical and Computer Engineering Oklahoma State University Stillwater OK USA

In this paper a hierarchical architecture that combines a high degree of reconfigurability and long-term memory is proposed as a fault tolerant control algorithm for complex nonlinear systems. Dual heuristic programming (DHP) is used for adapting to faults as they occur for the first time in an effort to prevent the build up of a general failure and also as tuning device after switching to a known scenario. A dynamical database, initialized with as much information of the plant as available, oversees the DHP controller. The decisions of which environments to record, when to intervene and where to switch are autonomously taken based on specifically designed quality indexes. The results of the application of the complete algorithm to a proof-of-the-concept numerical example help to illustrate the fine interrelations between each of its subsystems.

关键词： Programmable control Adaptive control Fault tolerance control systems Nonlinear control systems Nonlinear systems Stability Databases Switches Algorithm design and analysis

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Hierarchical rank density genetic algorithm for radial-basis function neural network design

Hierarchical rank density genetic algorithm for radial-basis...

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Congress on Evolutionary Computation

作者： G.G. Yen Haiming Lu Intelligent Systems and Control Laboratory School of Electrical and Computer Engineering Oklahoma State University Stillwater OK USA

关键词： Genetic algorithms Neural networks Algorithm design and analysis Neurons Network topology Chaos Artificial neural networks Intelligent systems Intelligent control Intelligent networks

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