German 30 loader for sale

  • Component oriented remanufacturing decision-making for

    Section 5, the proposed approach is applied in a real world case of remanufacturing decision-making for hydraulic excavator in a Chinese company. Conclusions are then presented in the final section. 2. Literature review The United States and Europe consider remanufacturing as a consolidated activity that brings great benefits to

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  • Fuzzy Failure Rate for Nuclear Power Plant Probabilistic

    Nov 06, 2012 · A simplified model of a high pressure core spray system is used to mathematically proof the proposed algorithm and defuzzification technique. A.K. Babar, and V. Venkat Raj, Uncertainty in Fault Tree Analysis: A Fuzzy Approach. Fuzzy Sets Syst., 1996. 83 (2): p. 135–141. Google Scholar Kahraman C. (eds) Computational Intelligence

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  • Fusion of Computational Intelligence Techniques and Their

    The approach utilizes expected utility paradigm and is applied to a benchmark decision problem in economics. The paper "An Intelligent Model for Pairs Trading Using Genetic Algorithms" by C.-F. Huang et al. presents the solution of pairs trading problem using genetic algorithms (GA).

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  • Multiple Criteria Decision Making, Multiattribute Utility

    May 01, 1992 · Journal of Intelligent & Fuzzy Systems, Vol. 37, No. 2 Models for evaluating the display systems quality of excavator instrumentation with 2-tuple linguistic information A novel need based free channel selection scheme for cooperative CRN using EFAHP-TOPSIS

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  • A comprehensive model and computational methods to …

    Here, a probabilistic 3WD approach based on a Bayesian Rough Set model is adopted. Given a fuzzy approximation space, a fuzzy event H, a pair of thresholds α and β, and a set of fuzzy equivalence classes [o i] R, the event can be assessed against the body of evidence using probabilistic 3WD such as where the computation of the conditional

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  • Comparative analysis of Multilayer Perceptron and Radial

    Computational intelligence techniques that include ANNs, genetic algorithms, simulated annealing, and fuzzy logic have shown promise in many areas including industrial engineering where the use of neural networks, genetic algorithms, and fuzzy logic is quite prominent. The capability of ANNs to learn complex relationships well has

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  • Fraud Detection Life Cycle Model: A Systematic Fuzzy

    International Journal of Computational Intelligence and Applications Vol. 14, No. 02, 1550010 (2015) No Access Fraud Detection Life Cycle Model: A Systematic Fuzzy Approach to …

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  • DeepDyve - Unlimited Access to Peer-Reviewed Journals

    DeepDyve is the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.

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  • Information Resource Management Technology Based on Fuzzy

    Jul 26, 2020 · The content management method is proposed as a stage of its life cycle, which is based on the application of fuzzy logic. This method describes the processes of generating commercial information resources and simplifies content management technology. The article describes the methods and procedures for forming design decisions in the management

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  • Autonomous Robotic Mining Excavation Using Fuzzy Logic and

    Jan 01, 1995 · This article describes our initial investigation into using neural networks and fuzzy behaviors for autonomous excavation control of a robotic front-end-loader-type mining machine. To utilize the experience and expertise from skilled human operators, a behavior-control approach based on fuzzy logic is developed. Nine typical behavior programs for general excavation tasks are constructed …

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  • Social Networks: A Framework of Computational Intelligence

    Dec 09, 2013 · This volume provides the audience with an updated, in-depth and highly coherent material on the conceptually appealing and practically sound information technology of Computational Intelligence applied to the analysis, synthesis and evaluation of social networks. The volume involves studies devoted to key issues of social networks including community structure detection in networks, …

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  • Sensors | Free Full-Text | Design of a Digital 3D Model of

    Computational Experiments with a Digital Model—Determination of Model Parameters As noted earlier, the procedure for filling a technological zone with the correct polygons is an important stage in the construction of a digital model, since it defines the spatial characteristics of atomic elements.

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  • A computational intelligent fuzzy model approach for

    37 rows · Nov 01, 2003 · To address this inadequacy, this paper presents a computational intelligent 'fuzzy' model

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  • Introduction to Computational Intelligence

    Computational Intelligence CSCI/ENGR 8940 Cruise Director: Don Potter •Neural network approach •Fuzzy logic approach. Our Case Studies •Multiple Fault Diagnosis •Network Configuration Fuzzy Sets model the properties of properties of imprecision, approximation or vagueness.

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  • Computational Intelligence and Neuroscience

    In order to reduce the enlargement of coal floor deformation and the manual adjustment frequency of rocker arms, an improved approach through integration of improved genetic algorithm and fuzzy logic control (GFLC) method is proposed. The enlargement of coal floor deformation is analyzed and a model is built. Then, the framework of proposed approach is built. Moreover, the constituents of GA

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  • Fuzzy Multicriteria Decision-Making Model (MCDM) for …

    Triangular fuzzy numbers are represented by a set of three real numbers (a,b,c) and (a < b < c), perform via member function = (, ) = (a − (b − a)y, c + (b − c)y), y [0, 1]. The ~ symbol is set to present fuzzy sets. Triangular fuzzy numbers as shown in Figure 2 . Figure 2.

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  • [PDF] Automated Excavator Based on Reinforcement Learning

    The procedure used combines a multibody approach and proximal policy optimization with a covariance matrix adaptation learning algorithm to simulate an autonomous excavator. The multibody model includes a representation of the hydraulic system, multiple sensors observing the state of the excavator and deformable ground.

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  • An Improved Genetic Fuzzy Logic Control Method to Reduce

    Apr 27, 2016 · Computational Intelligence and Neuroscience, 27 Apr 2016, 2016: 3973627 Xu and Wang built a shearer self-adaptive memory cutting model based on fuzzy control theory to adjust the drawing speed and drum height self-adaptively Simulation results of proposed approach in third-implementation cycle.

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  • (PDF) A STOCHASTIC COLORED PETRI NET MODEL TO …

    A STOCHASTIC COLORED PETRI NET MODEL TO ALLOCATE EQUIPMENTS FOR EARTH MOVING OPERATIONS. Bruno Prata. Ernesto Júnior. Bruno Prata. Ernesto Júnior. Download PDF. Download Full PDF Package. A Petri nets approach for simulation and …

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  • A Novel Fuzzy Model Predictive Control of a Gas Turbine in

    The complex characteristics of the gas turbine in a combined cycle unit have brought great difficulties in its control process. Meanwhile, the increasing emphasis on the efficiency, safety, and cleanliness of the power generation process also makes it significantly important to put forward advanced control strategies to satisfy the desired control demands of the gas turbine system.

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