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  1. No Access

    Chapter and Conference Paper

    Hybrid implementations of algebraic specifications

    The problem of insufficient execution speed of implementations of algebraic specifications is approached by presenting a formal framework in which implementations based on term rewriting [3] can be combined tr...

    H. R. Walters in Algebraic and Logic Programming (1990)

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    Chapter and Conference Paper

    A Recurrent Trajectory Storage Network with Parceling of the Workspace

    A prestructured neural network, capable of learning and generating smooth multi-dimensional desired trajectories was designed for the control of robotic manipulators. The recurrent network structure combines a...

    N. H.-R. Goerke, C. M. Müllender, R. Eckmiller in ICANN ’93 (1993)

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    Chapter and Conference Paper

    Spinal Processing of Impulse Trains from Sensory Receptors

    In order to more fully understand the implications of sensory coding, single afferent fibers in anesthetized cats have been stimulated with patterns of impulses similar to those recorded in those afferents in ...

    L. M. Mendell, H. R. Koerber in Neuroscience: From Neural Networks to Arti… (1993)

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    Chapter and Conference Paper

    A Method of Teaching a Neural Network to Generate Vector Fields for a Given Attractor

    Consider a finite n-dimensional space, with an n-dimensional vector S completely describes the “state”, in which a nonlinear system resides; to know the vector of state-changes is a complete representation of the...

    N. H.-R Goerke, R. Eckmiller in ICANN ’94 (1994)

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    Chapter

    Key issues for successful industrial neural-network applications: An application in geology

    H. R. A. Cardon, R. van Hoogstraten in Artificial Neural Networks (1995)

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    Chapter and Conference Paper

    EPIC: An equational language Abstract machine and supporting tools

    H. R. Walters, Juris F. Th.Kamperman in Rewriting Techniques and Applications (1996)

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    Chapter and Conference Paper

    Locally adaptive fuzzy image enhancement

    In recent years, some researchers have applied the concept of fuzziness to develop new enhancement algorithms. The global fuzzy image enhancement methods, however, fail occasionally to achieve satisfactory res...

    H. R. Tizhoosh, G. Krell in Computational Intelligence Theory and Applications (1997)

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    Chapter and Conference Paper

    A Deep 20 cm Radio Mosaic of the ESO Slice Project Galaxy Redshift Survey

    In the last two years we used the Australia Telescope Compact Array to make a deep radio mosaic of the ESO Slice Project (ESP) galaxy redshift survey. We imaged the entire region covered by the ESP galaxies at...

    I. Prandoni, L. Gregorini, P. Parma, G. Vettolani in Wide-Field Spectroscopy (1997)

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    Chapter

    Enhancement of Megavoltage Images in Radiation Therapy Using Fuzzy and Neural Image Processing Techniques

    Medical images in radiation therapy, especially megavoltage images (MVIs), are often very poor in quality because of imaging physics. For a reliable patient set-up verification by tracking of relevant features...

    H. R. Tizhoosh, G. Krell, B. Michaelis in Fuzzy Systems in Medicine (2000)

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    Chapter and Conference Paper

    Nonlinear and Noisy Time Series Prediction Using a Hybrid Nonlinear Neural Predictor

    A hybrid nonlinear time series predictor that consists a nonlinear subpredictor (NSP) and a linear sub-predictor (LSP) combined in a cascade form is proposed. A multilayer neural network is employed as the NSP...

    Seng Kah Phooi, Man Zhihong, H. R. Wu in Intelligent Data Engineering and Automated… (2000)

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    Chapter and Conference Paper

    Ant-ViBRA: A Swarm Intelligence Approach to Learn Task Coordination

    In this work we propose the Ant-ViBRA system, which uses a Swarm Intelligence Algorithm that combines a Reinforcement Learning (RL) approach with Heuristic Search in order to coordinate agent actions in a Mult...

    Reinaldo A. C. Bianchi, Anna H. R. Costa in Advances in Artificial Intelligence (2002)

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    Chapter and Conference Paper

    Comparing Distributed Reinforcement Learning Approaches to Learn Agent Coordination

    This work compares the performance of the Ant-ViBRA system to approaches based on Distributed Q-learning and Q-learning, when they are applied to learn coordination among agent actions in a Multi Agent System....

    Reinaldo A.C. Bianchi, Anna H.R. Costa in Advances in Artificial Intelligence — IBER… (2002)

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    Chapter and Conference Paper

    A New Approach in Fuzzy Adaptive Filtering

    A new fuzzy adaptive filter using Lyapunov stability theory is proposed in this paper. This fuzzy adaptive filter is constructed from a set of changeable fuzzy IF-THEN rules. The adaptive algorithm, Lyapunov theo...

    Seng Kah Phooi, Man Zhihong, H. R. Wu in Fuzzy Logic (2002)

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    Chapter and Conference Paper

    Designing a Fuzzy Gain Lyapunov Adaptive Filter Algorithm

    A new approach in fuzzy adaptive filtering is presented in this paper. The proposed fuzzy filter is constructed from a set of fuzzy IF-THEN rules. Based on the observations of input signal and a collection of ...

    Man Zhihong, Seng Kah Phooi, H. R. Wu in Fuzzy Logic (2002)

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    Chapter and Conference Paper

    Coaching a Soccer Simulation Team in RoboCup Environment

    Constructing soccer robots is an attempt in development of AI researches, done by defining a standard problem and solving it by many researchers all over the world. In this field, every year a formal federatio...

    J. Habibi, E. Chiniforooshan, A. HeydarNoori in EurAsia-ICT 2002: Information and Communic… (2002)

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    Chapter and Conference Paper

    Development of Genetic Algorithm Embedded KNN for Fingerprint Recognition

    A Kohonen self-organizing neural network embedded with genetic algorithm for fingerprint recognition is proposed in this paper. The genetic algorithm is embedded to initiate the Kohonen classifers. By the prop...

    H. R. Sudarshana Reddy, N. V. Subba Reddy in Applied Computing (2004)

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    Chapter and Conference Paper

    Heuristically Accelerated Q–Learning: A New Approach to Speed Up Reinforcement Learning

    This work presents a new algorithm, called Heuristically Accelerated Q–Learning (HAQL), that allows the use of heuristics to speed up the well-known Reinforcement Learning algorithm Q–learning. A heuristic functi...

    Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro in Advances in Artificial Intelligence – SBIA… (2004)

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    Chapter and Conference Paper

    Learning Image Filtering from a Gold Sample Based on Genetic Optimization of Morphological Processing

    This paper deals with the design of a semi-automated noise filtering approach, which receives just original noisy image and corresponding gold (user manipulated) image to learn filtering task. It tries to gene...

    S. Rahnamayan, H.R. Tizhoosh, M.M.A. Salama in Adaptive and Natural Computing Algorithms (2005)

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    Chapter and Conference Paper

    Type-2 Fuzzy Image Enhancement

    In the classical image processing paradigm, the fundamental idea of image enhancement is to produce a new image such that it exposes information for analysis more than the original image. Fuzzy Logic methods a...

    P. Ensafi, H. R. Tizhoosh in Image Analysis and Recognition (2005)

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    Chapter and Conference Paper

    Service Oriented Computing: Opportunities and Challenges

    Service oriented architectures (SOAs) are emerging as the technologies and architectures of choice for implementing distributed systems. Recent advances and standardization efforts in SOAs provide necessary bu...

    Boualem Benatallah, H. R. Motahari Nezhad in Semantic Web and Databases (2005)

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