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Automatic training of generalized min-max classifiers

Automatic training of generalized min-max classifiers

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conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： A. Rizzi M. Panella F.M.F. Mascioli G. Martinelli INFO COM Department University of Roma La Sapienza Rome Italy

Among fuzzy classifiers, min-max networks have the advantage to be trained in a constructive way, by a simple learning procedure. the classification strategy of Simpson's min-max classifier (1992) consists in covering the training data with hyperboxes constrained to have their boundary surfaces parallel to the coordinate axes of the chosen reference system. In order to obtain a more accurate data coverage, it is possible to adopt a new classification model which allows to arrange the hyperboxes orientation along any direction of the data space. the training algorithm is based on the ARC/PARC technique, which already yields better performances with respect to the original Simpson's algorithm. Although the most important feature of a classifier is its generalization capability, the effectiveness of a training procedure is strictly related to its automation degree. A low automation degree can be a serious drawback for a classification system, since it can prevent an unskilled user from successfully generate an acceptable model. From this point of view, a learning procedure should not depend on any critical parameter. the automation degree of the new classification system is evaluated in the paper.

关键词： Performance evaluation Particle measurements Training data Plasma welding Testing Yield estimation Design automation Classification algorithms Power system modeling Neural networks

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Genetic programming for life-time learning of a mobile robot

Genetic programming for life-time learning of a mobile robot

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conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： N. Kubota S. Hashimoto F. Kojima Department of Human and Artificial Intelligent system Fukui University of Technology Bunkyo Fukui Japan Department of System Function Science Kobe University Kobe Japan

the paper deals with a mobile robot with structured intelligence. the robot interacts with a dynamic environment. the evaluation criteria or functions are the strategy for the behavior acquisition. Generally, it is difficult for human operators to describe the internal models of the robot because the organization of the robot is quite different from that of a human. In the optimization, the evaluation function is generally given by human operators beforehand. It is easy to give the evaluation functions if the environmental condition is easy and fixed, but the robot must interact with dynamic, uncertain and unknown environments or human operators. therefore, the robot should generate the evaluation criteria by itself based on its embodiment. A human improves its behavior by using and changing its evaluation criteria as adaptive processes. the robot also has to acquire their evaluation criteria through life-time learning. therefore, we apply genetic programming (GP) for generating evaluation functions. the result of computer simulation shows that GP can generate the evaluation function suitable for the applicable environments, the given tasks, and the robot.

关键词： Genetic programming Mobile robots Intelligent robots Robot sensing systems Humans Competitive intelligence Orbital robotics Intelligent systems Artificial intelligence Intelligent structures

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Building exterior design system by hierarchical combination fuzzy model

Building exterior design system by hierarchical combination ...

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conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： N. Ikoma H. Maeda Y. Kobayashi T. Tabira D. Yamamoto Department of Computer Engineering Faculty of Engineering Kyushu Institute of Technology Tobata Japan Kouzou Keikaku Engineering Inc. Tokyo Japan

We propose a new "Kansei" design method for a building exterior by using a decomposed fuzzy model and its inverse problem solution. the Kansei of the human to CG image of the building exterior is measured by the SD technique. the decomposed fuzzy model is used to perform the human reactions. the model is divided into sub-models with a single output variable. Input variables are common in these sub-models. In one sub-model, each input variable is fed into the fuzzy inference unit separately, and the output signals of these fuzzy inference units are combined two by two, by combination unit. Parameters of the model are tuned by an error backpropagation algorithm using the date measured by the SD technique. For the design of the building exterior to satisfy a customer's Kansei request, the inverse problem of the model is solved. Firstly, inverse problems for all sub-models are solved separately, under a constraint of noninferior property to the solution. these solutions are unified by taking the intersection for all sub-models. In general, the unified solution is still a set of intervals, then the unique solution is required to draw a CG image of the building exterior, and is obtained by a numerical optimization method to satisfy the customer's requests as much as possible. An experimental result is reported, and the method is implemented on the WWW system using Java and CGI.

关键词： Buildings Fuzzy systems Inverse problems Humans Character generation Input variables Design methodology Backpropagation algorithms optimization methods World Wide Web

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A fuzzy Cauchy problem modelling the decay of the biochemical oxygen demand in water

A fuzzy Cauchy problem modelling the decay of the biochemica...

引用

conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： G.L. Diniz J.F.R. Fernandes J.F.C.A. Meyer L.C. Barros Mat icet UFMT Cuiaba Mato Grosso do Sul Brazil Densis FEEC State University of Campinas-UNICAMP Sao Paulo Brazil DMA IMEEC State University of Campinas-UNICAMP Sao Paulo Brazil

A very important physical-chemical parameter of water is the concentration of dissolved oxygen necessary for all living aquatic organisms. In this work, we have proposed a fuzzy model to describe the decay of the dissolved oxygen concentration in water using fuzzy differential equations, the classic analytic solution of which is well known. We use the Euler and Runge-Kutta 4/sup th/ order methods to obtain an approximate solution of an initial value problem of a fuzzy linear ordinary differential equation modelling decay. We compare numerical results with the fuzzy analytic solution presented by Barros et al (2000) for the similar fuzzy differential equation.

关键词： Oxygen Fuzzy sets Differential equations Pollution measurement Chemicals Rivers Water pollution thermal pollution Organisms Biological system modeling

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optimization of piecewise linear networks (PLN) by pruning

Optimization of piecewise linear networks (PLN) by pruning

引用

conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： W. Eppler T. Bottger Forschungszentrum Karlsruhe GmbH (FZK) Karlsruhe Germany

PLNs are neural networks with linear and metric neurons that separate a non-linear input space into several linear regions. the separation is done by LVQ-like metric neurons (Kohonen, 1989). Linear output neurons provide a linear mapping from input to output space. Unlike other neural networks there is a three-dimensional weight matrix between the input, hidden and output layer rather than a two-dimensional weight matrix between the hidden and output layer. For training of PLNs different training strategies like gradient descent or linear regression exist that are combined with a constructive method producing hidden units. the fastest method is an incremental regression with only 2 to 5 cycles of the complete training set. Incremental training means that the network weights are refreshed after each presentation of a pattern. One drawback of this method is the nonsmooth approximation of the objective function, especially for those spots corresponding to the first few patterns of a linear region. One bad effect is an insufficient generalization in this region. Pruning solves this problem. Results are presented. Applications are seen mainly in approximation tasks and especially, in control tasks and system identification.

关键词： Piecewise linear techniques Neurons Function approximation Biological neural networks Vectors Control systems system identification Piecewise linear approximation Extraterrestrial measurements Linear regression

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Continuous locomotion of brachiation robot by behavior phase shift

Continuous locomotion of brachiation robot by behavior phase...

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conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： Y. Hasegawa H. Tanahashi T. Fukuda Department of Micro System Engineering University of Nagoya Nagoya Japan Center for Cooperative Research in Advanced Science and Technology University of Nagoya Nagoya Japan

the authors propose an extension of a hierarchical behavior controller which achieve dynamically dexterous behavior by shifting behavior phase. A controller for a dynamically dexterous behavior is hard to be designed by using any unsupervised learning methods, because of enormous searching space. In order to reduce the searching space and its complexity, a hierarchical behavior structure is effective. We previously proposed a hierarchical behavior controller (Y. Hasegawa and T. Fukuda, 1999), which consists of two kinds of modules: behavior coordinator and behavior controller and adaptation algorithm for scaling of behavior outputs. It is applied to the control problem of a seven-link brachiation robot, which moves dynamically from branch to branch like a gibbon swinging its body. the robot however does not locomote from branch to branch stably by adjusting the amplitude of two behavior controllers. A hybrid adjusting algorithm with amplitude scaling and phase shifting of behavior outputs is proposed. Numerical simulations demonstrate that the obtained controller can successfully generate the stably continuous locomotion.

关键词： Robot kinematics Intelligent sensors Computational intelligence Intelligent actuators Numerical simulation Power system modeling Intelligent systems Intelligent robots Sensor systems Robot sensing systems

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Multiobjective optimization of fuzzy logic scheduled controllers for missile autopilot design

Multiobjective optimization of fuzzy logic scheduled control...

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conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： A. Blumel B. White Department of AeroSpace Power and Sensors Cranfield University Royal Military College of Science Shrivenham Wiltshire UK

this paper describes the design of a fuzzy logic scheduled controllers used for side-slip velocity control of a missile autopilot design. A multiobjective evolutionary algorithm is used to determine the membership function distribution of the fuzzy trajectory controller within an outer loop control system. Scaling factors of the FLC inputs and outputs for each required demand are obtained by using a polynomial fit for a large range of multiple velocity demands (1 g, 5 g, 10 g, 15 g-lateral acceleration equivalent). the design meets multiple objectives related to closed loop performance such as: steady state error, overshoot, settling and rise time. Multiple solutions are obtained simultaneously by using nondominated sorting for forming the Pareto front, combined with a reference point approach to incorporate preference information into the GA to direct the search towards feasible desirable areas which satisfy specific values of the objectives. Simulation results are presented showing the fuzzy gain surface and extreme models in the multiple model population.

关键词： Fuzzy logic Velocity control Control systems Missiles Evolutionary computation Fuzzy control Fuzzy systems Polynomials Acceleration Steady-state

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A fuzzy epidemic model based on gradual rules and extension principle

A fuzzy epidemic model based on gradual rules and extension ...

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conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： N.R.S. Ortega L.C. de Barros E. Massad Institute of Physics University of São Paulo Sao Paulo Brazil Institute of Mathematics Statistics and Scientific Computation State University of Campinas-UNICAMP Sao Paulo Brazil School of Medicine University of São Paulo and LIM01 HCFMUSP Sao Paulo Brazil

the authors applied the Extension Principle in order to build the consequents of the rules of a fuzzy epidemic model. the main idea is to use a function of a classical model an epidemic system, and with the extension principle to find a fuzzy function which operates on the fuzzy epidemic sets. In this sense, the modelling become less dependent on the experts' opinions, which is an advantage. Our fuzzy rules are so called gradual rules and the method described above was originally proposed by D. Dubois et al.(1995). In order to validate the proposed method, we applied it to another situation, similar to a SIS (Susceptible-Infected-Susceptible) model, which occurs when the infection is 100% lethal. In this model the individuals are classified in seropositives (when they present antibodies against the infection, which results in protection) and seronegatives (when they do not present these antibodies, so they are considered susceptible to infection). When the disease presents no-subclinical infection, vaccination is the unique way to induce the production of antibodies in non-diseased and live individuals. the seropositive individuals are assumed to lose the immunization status after some time, becoming susceptible again. We produced two MISO models using different inference methods. the results were compared with the experimental data set and with another MISO Model, which is entirely based on expert knowledge and presented in a previous work. the use of the extension principle in the sense of building consequent fuzzy sets of fuzzy rules seems to be an adequate tool to model epidemic problems more complex than treated in this work, since this kind of approach seems to be well modelled by gradual fuzzy rules.

关键词： Fuzzy systems Biological system modeling Protection Uncertainty Fuzzy sets Mathematical model Mathematics Statistics Physics computing Medical diagnostic imaging

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Connecting SCOOT to CORSIM: real-time signal optimization simulation

Connecting SCOOT to CORSIM: real-time signal optimization si...

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Annual conference of Industrial Electronics Society

作者： J. Perrin P.T. Martin B.G. Hansen Civil and Env. Engineering University of Utah Salt Lake UT USA Transcore Inc. Salt Lake UT USA

Adaptive signal control systems react to traffic in real-time and adjust the signal timings to improve signal efficiency. SCOOT is the most widely implemented system. It comes from the UK with over 200 installations worldwide including the US. Average delay reductions of 20 percent have been shown in urban networks that employ adaptive signal control systems. However, these benefits vary between cities. Until now, no commercially available adaptive signal control system could be modeled across a city-specific network prior to installation. the University of Utah has developed a simulation modeling connection between the Federal Highway's CORSIM model and the SCOOT adaptive control system. SCOOT runs on the VMS operating system, CORSIM on Windows NT. the two are connected via Ethernet with a dynamic link library interface that extracts the signal state and detector information from CORSIM and converts it to a format that SCOOT understands. SCOOT processes the information and sends it back across the Ethernet. In a completed loop, the optimized signal timing is then communicated from SCOOT to CORSIM, which implements the timing and updates the traffic simulation. this work offers traffic engineers the opportunity to evaluate the impact of SCOOT in a simulated environment prior to installation of the system. this paper reports the findings of the simulation of an actual urban network.

关键词： Joining processes Adaptive control Adaptive systems Programmable control Timing Control systems Ethernet networks Telecommunication traffic Traffic control Communication system traffic control

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optimization of guest-host LCD with a phase retardation plate

Optimization of guest-host LCD with a phase retardation plat...

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20th International Display Research conference

作者： Ng, Kwan-Wah Chigrinov, Vladimir Simonenko, Georgy Kwok, Hoi-Sing Center for Display Research Hong Kong Univ. of Sci. and Technol. Clear Water Bay Hong Kong Hong Kong Saratov State University 410 601 Saratov Russia

the optimization of guest-host liquid crystal display (GH-LCD) with a phase retardation plate was discussed. the optimization was performed with the help of phase compensator, placed between the mirror and LC cell. the optimal LC thickness and dye concentration for a given phase retarder configuration was obtained using MOUSE-LCD modeling software. the phase retardation plate between the LC cell and a mirror resulted in an increase of the contrast by four times without affecting the brightness in the on state.

关键词： Liquid crystal displays

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