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检索条件"丛书名=World Scientific Proceedings Series On Computer Engineering And Information Science"

共 774 条记录，以下是211-220 订阅

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A MODEL FOR FISHERY FORECAST BASED ON CLUSTER ANALYSIS AND NONLINEAR REGRESSION 11

A MODEL FOR FISHERY FORECAST BASED ON CLUSTER ANALYSIS AND N...

引用

11th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Yuan, Hongchun Tan, Mingxing Chen, Ying Shanghai Ocean Univ Shanghai 21306 Peoples R China Univ Tasmania Sch Comp & Informat Sci Hobart Tas Australia

ISBN: (纸本)9789814619967

There has been an increasing amount of research in the relationship between environmental factors and fishing yield. This paper adds to the body of knowledge by developing a new model for forecasting fishing yield. The model combines fishery domain expert knowledge, marine environmental factor data such as water temperature, chlorophyll concentration and sea surface level as base data and applies cluster analysis that incorporates function fitting and nonlinear regression for data analysis and processing. The model is tested for forecast accuracy and the test result is compared with those using RBF and SVM, the two methods commonly used for similar purposes. The comparison result reveals this new model increases both the accuracy in fishery forecast and the reliability in guiding fishery production and related activities. It can also help explore and discover the distribution of fishing grounds.

关键词： pelagic fishing fisheries forecasting cluster analysis nonlinear regression

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MANUFACTURE'S LOGISTICS OUTSOURING DECISION RESEARCH BASED ON FREE-RIDER 11

MANUFACTURE'S LOGISTICS OUTSOURING DECISION RESEARCH BASED O...

引用

11th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Qiang, Guo Min, Jiang Southwest Jiaotong Univ Sch Econ & Management 111 North Second Ring Rd Chengdu 610031 Sichuan Peoples R China

ISBN: (纸本)9789814619967

This paper studies manufacturer's logistics outsourcing decision in double channel supply chain. We respectively establish without free-rider manufacturers logistics outsourcing, logistics self-management and situation with free-rider of logistics outsourcing and self-management. And further we analyze the logistics outsourcing and self-management critical point. This paper mainly discusses market share and the cost of logistics system's influence on the manufacturer's logistics outsourcing decision-making The results show that: manufacturer logistics outsourcing decision largely depends on the cost of logistics system;manufacturers and retailers exists both competition and cooperation relationship in the double channel of the supply chain, considering free-rider factors will change the point of manufacturers logistics outsourcing decision.

关键词： Decision making

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FORECASTING HIGH FREQUENCY DATA: AN ARMA-SOFT RBF NETWORK MODEL FOR TIME series 11

FORECASTING HIGH FREQUENCY DATA: AN ARMA-SOFT RBF NETWORK MO...

引用

11th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Marcek, Dusan Silesian Univ Res Inst Ctr Excellence IT4Innovat Bezruc Sq 13 Opava 74601 Czech Republic

ISBN: (纸本)9789814619967

In the article we alternatively develop forecasting models based on the Box-Jenkins methodology and on the neural approach based on classic and fuzzy logic radial basis function neural networks. We evaluate statistical and neuronal forecasting models for monthly platinum price time series data. In the direct comparison between statistical and neural models, the experiment shows that the neural approach clearly improve the forecast accuracy. Following fruitful applications of neural networks to predict financial data this work goes on. Both approaches are merged into one output to predict the final forecast values. The proposed novel approach deals with nonlinear estimate of various radial basis function neural networks.

关键词： Fuzzy logic

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FUZZY MORPHOLOGICAL PERCEPTRONS AND HYBRID FUZZY MORPHOLOGICAL/LINEAR PERCEPTRONS 11

FUZZY MORPHOLOGICAL PERCEPTRONS AND HYBRID FUZZY MORPHOLOGIC...

引用

11th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Bueno, Felipe Roberto Sussner, Peter Univ Estadual Campinas Dept Appl Math IMECC Campinas SP Brazil

Morphological perceptrons (MPs) belong to the class of morphological neural networks (MNNs).1-3 The latter represent a class of artificial neural networks that perform operations of mathematical morphology (MM) at eve... 详细信息

ISBN: (纸本)9789814619967

Morphological perceptrons (MPs) belong to the class of morphological neural networks (MNNs).^1-3 The latter represent a class of artificial neural networks that perform operations of mathematical morphology (MM) at every node, possibly followed by the application of an activation function.4 Recall that MM was conceived as a theory for processing and analyzing objects, i.e., images or signals, by means of other objects called “structuring elements". Although initially developed for binary image processing and later extended to gray-scale image processing, MM can be conducted very generally in a complete lattice setting.^5,6 Since the late 1990's, several researchers have started transferring operators, ideas, and concepts of MM into the area of computational intelligence and MNNs emerged as a new paradigm for computing with artificial neural networks.^1-3,7 Originally, MNNs only employed certain operations of gray-scale MM, namely gray-scale erosion and dilation according to the umbra approach.⁸ These operations can be expressed in terms of (additive maximum and additive minimum) matrix-vector products in minimax algebra.⁹ Learning in morphological or hybrid morphological/linear neural networks¹⁰ can be achieved using either specifically designed training algorithms³ or general purpose training algorithms such as traditional non-linear optimization (after smoothing non-differentiable functions such as the maximum and minimum operator), extreme learning, or evolutionary algorithms. Until now, MPs (with and without competitive learning) have mainly found applications in classification. For an m-class classification problem, the learning phases of MPs and morphological perceptrons with competitive learning (MP/CLs)³ yield a function from the complete lattice ℝⁿ_{± ∞} = (ℝ ⋃{+∞;-∞})ⁿ to the complete lattice {0;1}ⁿ. The resulting function ℝⁿ

关键词： Marphological neural network marphological perceptrons mathematical marphology complete lattice fuzzy set fuzzy mathematical marphology fuzzy marphological perceptron hybrid fuzzy marphological / linear perceptron classification prediction

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A SEARCH METHOD FOR FEASIBLE NEIGHBORHOODS OF INTELLIGENT CAR BASED ON NEIGHBORHOOD SYSTEMS 11

A SEARCH METHOD FOR FEASIBLE NEIGHBORHOODS OF INTELLIGENT CA...

引用

11th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Zhao, Hailiang Southwest Jiaotong Univ Sch Math Chengdu 610031 Sichuan Peoples R China

ISBN: (纸本)9789814619967

The control methods based on neighborhood systems can break down a dynamic and complex control process into a series of static and simple ones. They are available approaches for the control of automatic driving. According to a car's orientation relative to road, a neighborhood system for intelligent cars is presented in this paper. Methods to select some feasible neighborhoods for an automatic driving car are discussed, which are built by considering the changes of road edges and the relative speed to the front of cars or obstacles. All the methods are designed depending on data from available sensors of angle and distance. Each of the feasible neighborhoods could reflect some changes of the environment factors, so that it can be used to fuzzy predictive control. The effectiveness of the presented methods is simulated with a full size car on road.

关键词： Decision making

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TIME series GROUPING AND TREND FORECAST USING F¹-TRANSFORM AND FUZZY NATURAL LOGIC 11

TIME SERIES GROUPING AND TREND FORECAST USING F<SUP>1</SUP>-...

引用

11th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Perfilieva, I. Novak, V. Romanov, A. Yarushkina, N. Univ Ostrava Inst Res Applicat Fuzzy Modeling NSC IT4Innovat 30 Dubna 22 Ostrava 70200 Czech Republic Ulyanovsk State Tech Univ Dept Inf Syst Ulyanovsk Russia

ISBN: (纸本)9789814619967

We present an idea to group time series according to the course of their local trends that can be well captured by the F-1-transform. On the basis of an adjoint time series consisting of a sequence of F-1 transform components, we form a grouping of time series with closely related trends. This enables us to forecast trend of one selected principal time series and on the basis of it, to forecast trends of the other time series from this grouping. This is realized using the methods of fuzzy natural logic, namely automatic generation of linguistic description from the data and then deriving a conclusion using the perception based logical deduction.

关键词： F-1-tansform time series Fuzzy Natural Logic evaluative linguistic expressiois

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A NEW CONCEPT OF FUZZY IMAGE SEGMENTATION 11

A NEW CONCEPT OF FUZZY IMAGE SEGMENTATION

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11th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Gomez, D. Zarrazola, E. Yanez, J. Rodriguez, J. T. Montero, J. Univ Complutense Madrid Fac Estudios Estadist E-28040 Madrid Spain Univ Antioquia Inst Matemat Medellin Colombia Univ Complutense Madrid Fac Matemat E-28040 Madrid Spain

ISBN: (纸本)9789814619967

A crisp image segmentation can be characterized in terms of the set of edges that separates the adjacent regions of the segmentation. Based on these edges, an alternative way to define a fuzzy image segmentation is introduced in this paper. In this sense, the notion of fuzzy image segmentation is characterized by means of a fuzzy set over the set of edges, which could in this way be understood as the fuzzy boundary of the image. Also, an algorithm to construct this fuzzy boundary is provided based on the relations that exist between the fuzzy boundary set problem and the (crisp) hierarchical image segmentation problem. Finally, some computational experiences have been included in order to show the fuzzy boundaries of some digital images.

关键词： Image Processing Hierarchical Cluster Fuzzy Sets

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TRAINING STRATEGY TO IMPROVE THE EFFICIENCY OF AN INTELLIGENT DETECTION SYSTEM 11

TRAINING STRATEGY TO IMPROVE THE EFFICIENCY OF AN INTELLIGEN...

引用

11th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Guevara, Cesar Santos, Matilde Lopez, Victoria Univ Complutense Madrid Dept Comp Architecture & Automat Control Sch Comp Sci C Prof Garcia Santesmases S-N Madrid 28040 Spain

ISBN: (纸本)9789814619967

Detection systems of computer accesses are essential for information security. In this article we propose a classification system that combines two intelligent algorithms: Supervised Classification Systems, UCS, and Decision Trees, C4.5. The experiments were carried out using a dataset provided by Amazon, the Kaggle challenge. The system has been trained by dividing the dataset into subgroup. This training strategy has resulted more efficient than if the whole database is used as an only set. Results prove that the use of the proposed detection system provides higher classification accuracy and reduces the percentage of false positives in comparison to other classification techniques.

关键词： Decision trees

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FUZZY RELATIONAL EQUATIONS AND THE COVERING PROBLEM 11

FUZZY RELATIONAL EQUATIONS AND THE COVERING PROBLEM

引用

11th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Xiong, Q. Q. Shu, Q. Y. Wang, X. P. Sichuan Normal Univ Coll Math & Software Sci Chengdu 610066 Sichuan Peoples R China

The work considers the problem of solving a system of fuzzy relational equations and introduces the concepts of characteristic matrix and attainable variables. It is proved that maximal solutions of the system corresp... 详细信息

ISBN: (纸本)9789814619967

关键词： Fuzzy relational equation Maximal solutions Covering problem Irredundant covering

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L-FUZZY ASSOCIATIVE MEMORIES WITH AN EMPHASIS ON INTERVAL-VALUED AND TYPE-2 FUZZY ASSOCIATIVE MEMORIES 11

L-FUZZY ASSOCIATIVE MEMORIES WITH AN EMPHASIS ON INTERVAL-VA...

引用

11th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Schuster, Tiago Sussner, Peter Univ Estadual Campinas Dept Appl Math IMECC Campinas So Paulo Brazil

ISBN: (纸本)9789814619967

The last decade has witnessed the emergence of a variety of lattice computing approaches towards computational intelligence such as morphological neural networks1,2 and fuzzy lattice reasoning/ neuro-computing models.3 Here, the technical term "lattice" refers to a lattice in the mathematical sense of Birkhoff’s seminal work.4 Lattice theory grew out of Boolean algebra and has found a wide range of applications such as formal concept analysis, computational intelligence, fuzzy set theory, and mathematical morphology.5 Recall that mathematical morphology (MM) is irrevocably linked to lattice theory since Serra established complete lattices as its appropriate theoretical framework.6 Mathematical morphology on complete lattices represents the theoretical basis for a range of computational intelligence models known as morphological neural networks (MNNs) including gray-scale and fuzzy morphological associative memories (FMAMs).7,8 In this context, recall that the class of fuzzy sets over a certain universe can be equipped with a partial ordering, giving rise to a complete lattice. © 2014 by world scientific Publishing Co. Pte. Ltd. All rights reserved.

关键词： Mathematical morphology fuzzy systems and systems associative memories morphological neural networks lattice computing interval-valued fuzzy sets

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