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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71-80 订阅

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PREDICTION OF CYCLIC COMPONENTS OF A TIME series USING FUZZY TRANSFORM 12

PREDICTION OF CYCLIC COMPONENTS OF A TIME SERIES USING FUZZY...

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Nguyen, Linh Novak, Vilem Holcapek, Michal Univ Ostrava Inst Res & Applicat Fuzzy Modeling CE IT2Innovat 30 Dubna 22 CZ-70103 Ostrava Czech Republic

In this article, we propose a new method for prediction of cyclic components of a time series using fuzzy transform (F-transform) of higher degree.

ISBN: (纸本)9789813146969

In this article, we propose a new method for prediction of cyclic components of a time series using fuzzy transform (F-transform) of higher degree.

关键词： Time series Prediction Fuzzy transform Pattern model

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USING ARTIFICIAL INTELLIGENCE TO PREDICT HUMAN BODY DIMENSIONS FOR PATTERN MAKING 12

USING ARTIFICIAL INTELLIGENCE TO PREDICT HUMAN BODY DIMENSIO...

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Liu, Kaixuan Wang, Jianping Zeng, Xianyi Tao, Xuyuan Bruniaux, Pascal Donghua Univ Fash & Art Design Inst 1882 West Yanan Rd Shanghai 200051 Peoples R China Univ Lille 1 Sci & Technol F-59655 Lille France ENSAIT GEMTEX 2 Allee Louise & Victor Champier F-59056 Roubaix France

ISBN: (纸本)9789813146969

Traditional pattern making models are mainly linear models. This kind of model has many shortcomings. As Back Propagation (BP) neural network using simple nonlinear transfer functions can approximate any nonlinear functions with any precision, we proposed a BP neural network model to predict all pattern making- related body dimensions by inputting few key human body dimensions. Sixty students in the northeast of China were measured for collecting a learning data to train the proposed model, and eleven of the sixty subjects' body dimensions data were applied to test the accuracy of the model. The results show that the prediction accuracies of linear regression model and BP neural network model have little difference. As the traditional linear model can be well applied in pattern making, the BP neural network model also can be well used for pattern making. Moreover, if increasing the number of learning samples, the precision of the proposed model is further improved.

关键词： Neural network models

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A NOVEL INTERVAL CERTITUDE RULE BASE INFERENCE METHOD WITH EVIDENTIAL REASONING 12

A NOVEL INTERVAL CERTITUDE RULE BASE INFERENCE METHOD WITH E...

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Jin, Liuqian Xu, Yang Fang, Xin Southwest Jiaotong Univ Intelligent Control Dev Ctr 111 North Second Ring Rd Chengdu 610031 Sichuan Peoples R China Chongqing Technol & Business Univ Sch Business Planning 18 Univ Ave Chongqing 400067 Peoples R China

ISBN: (纸本)9789813146969

In this paper, a rule based representation with interval certitude structure is presented as well as its inference method based on evidential reasoning, operational research and fuzzy set theory. A rule base is designed with interval certitude degrees embedded in the antecedent terms and consequent terms, which is shown to be capable of capturing uncertainties of human knowledge and human judgment. And the evidential reasoning approach is applied to the rule combination.

关键词： Rule based system Interval certitude factor Uncertainty Inference method Evidential reasoning

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THE EFFECT OF GOOGLE DRIVE DISTANCE AND DURATION IN RESIDENTIAL PROPERTY IN SYDNEY, AUSTRALIA 12

THE EFFECT OF GOOGLE DRIVE DISTANCE AND DURATION IN RESIDENT...

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Nejad, Mehrdad Ziaee Lu, Jie Asgari, Pooyan Behbood, Vahid Univ Technol Sydney Fac Engn & Informat Technol Decis Syst & E Serv Intelligence Lab Ctr Quantum Computat & Intelligent Syst QCIS Ultimo NSW 2007 Australia FairFax Media Domain Grp Data Prod & Insights 100 Harris St Pyrmont NSW 2009 Australia

ISBN: (纸本)9789813146969

Predicting the market value of a residential property accurately without inspection by professional valuer could be beneficial for vary of organization and people. Building an Automated Valuation Model could be beneficial if it will be accurate adequately. This paper examined 47 machine learning models (linear and non-linear). These models are fitted on 1967 records of units from 19 suburbs of Sydney, Australia. The main aim of this paper is to compare the performance of these techniques using this data set and investigate the effect of spatial information on valuation accuracy. The results demonstrated that tree models named eXtreme Gradient Boosting Linear, eXtreme Gradient Boosting Tree and Random Forest respectively have best performance among other techniques and spatial information such drive distance and duration to CBD increase the predictive model performance significantly.

关键词： Property Valuation Machine Learning Regression Pre-processing

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A MULTICRITERIA APPROACH FOR THE CHARACTERIZATION OF FIBER SPATIAL DISTRIBUTION IN WEBS USING IMAGE ANALYSIS 12

A MULTICRITERIA APPROACH FOR THE CHARACTERIZATION OF FIBER S...

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Jerbi, Taha Vroman, Philippe Zeng, Xianyi Univ Lille Lab Genie & Mat Text GEMTEX EA 2461 ENSAIT Lille France

ISBN: (纸本)9789813146969

In this work, a new algorithm for describing the quality of fiber spatial distribution in nonwoven structures using image analysis and a multicriteria approach is presented. The method is based on the spatial classification of the surface area into three categories: "normal" density of fiber, "low" density of fiber and "high" density of fiber. A multicriteria characterization is then computed from this first image analysis classification taking into account human knowledge and expertise.

关键词： Fibers

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CLASSIFICATION AND MEASURE OF QUANTITATIVE DIFFERENCE BETWEEN POLYESTER AND COTTON FABRICS BASED ON SENSORY ANALYSIS 12

CLASSIFICATION AND MEASURE OF QUANTITATIVE DIFFERENCE BETWEE...

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Kamalha, Edwin Koehl, Ludovic Campagne, Christine Univ Lille 1 GEMTEX Lab ENSAIT Sci & Technol BP 30329-59056 Roubaix 1 France Busitema Univ Fac Engn POB 236 Tororo Uganda

ISBN: (纸本)9789813146969

In this study we compare cotton and polyester (Polyethylene terephthalate) (PET) sensory attributes, as a precursor for sensory modification of polyester, for cotton replacement. We systematically identify the key sensory attributes that distinguish cotton from polyester fabrics. Rank Aggregation, Principal Component Analysis (PCA), Agglomerative Hierarchical Clustering (AHC), and the measure of distances are used to process elicited data.

关键词： Principal component analysis

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THE STUDY OF BASIC FUZZY series FORECASING MODELS 12

THE STUDY OF BASIC FUZZY SERIES FORECASING MODELS

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Afanasieva, T., V Guskov, G. U. Yarushkina, N. G. Ulyanovsk State Tech Univ Informat Syst Dept 27 Severny Venets Str Ulyanovsk 432027 Russia

ISBN: (纸本)9789813146969

The aim of this study is to show what type of basic fuzzy time series (TS) models was the most accurate in the set of data CIF 2015 competition organized in the framework of IFSA - EUSFLAT 2015 conference. Three types of fuzzy TS models were investigated: model, based on fuzzified TS values, model, based on fuzzified first differences of TS values and model, based on the elementary fuzzy tendencies. In the study forecasting accuracy of these fuzzy TS models analyzed in dependence of different characters of TS.

关键词： Fuzzy logic

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α-LOCK PARAMODULATION FOR A LATTICE-VALUED FIRST ORDER LOGIC LnF(X) 12

α-LOCK PARAMODULATION FOR A LATTICE-VALUED FIRST ORDER LOGI...

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： He, Xingxing Xu, Yang Li, Yingfang Southwest Jiaotong Univ Sch Math Chengdu 610031 Sichuan Peoples R China Southwestern Univ Finance & Econ Sch Econ Informat Engn Chengdu 611130 Sichuan Peoples R China

ISBN: (纸本)9789813146969

In this paper we propose alpha-lock paramodulation for a lattice-valued logic LnF(X), which is a refined method for alpha-paramodulation. Firstly the concepts and their equivalence of E-alpha-interpretation and alpha-equality axioms set are extended. Then the concept of alpha-lock paramodulation is given, and its properties are shown. Finally its soundness and completeness are established.

关键词： alpha-lock paramodulation E-alpha-Interpretation alpha-equality axioms lattice-valued first order logic

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A META-HEURISTIC APPROACH FOR IPPS PROBLEM 12

A META-HEURISTIC APPROACH FOR IPPS PROBLEM

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Alcan, Pelin Uslu, Mehmet Fatih Basligil, Huseyin Istanbul Gelisim Univ Fac Engn & Architecture Dept Ind Engn Cihangir St TR-34315 Istanbul Turkey Yildiz Tech Univ Mech Fac Dept Ind Engn Inst Sci TR-34349 Istanbul Turkey Yildiz Tech Univ Mech Fac Dept Ind Engn TR-34349 Istanbul Turkey

ISBN: (纸本)9789813146969

In this paper, we focused on the Integrated Process Planning and Scheduling (IPPS) which was an example of job-shop scheduling problem. Several approaches were proposed to solve this problem and Ant Colony Optimization (ACO) was one of the widely used approaches. Examining the articles in which ACO algorithm was described and applied to the IPPS problem gave us an insight of current performance of optimization algorithms to this problem. We then proposed a Genetic Algorithm (GA) for the problem and implemented both algorithms, ACO and GA, in Javascript. According to the results, increasing the running time of GA leaded to more optimal results than ACO. In addition, GA found better results compared to ACO in small-scale problems. On the other hand, ACO performed better than GA in limited time or in bigger problems. In this paper, we proposed a GA approach for IPPS problems. Our chromosome model had 2 parts;first part represented machines of processes and second part showed the orders of the jobs. We applied different mutation/crossover types to these parts and then determined better parameters with numerous experiences. Also, we created an iOS application for visually comparing this GA approach with an ACO algorithm previously proposed. Our GA approach gave better results in some problem types. Our application could be downloaded in the following link (iPad was recommended): https://***/co/app/ipps-solver/id876097527? l=en&mt=8

关键词： Genetic algorithms

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A MEMETIC ALGORITHM FOR SOLVING THE MULTIPLE VEHICLES ROUTING PROBLEM IN BICYCLE SHARING SYSTEMS 12

A MEMETIC ALGORITHM FOR SOLVING THE MULTIPLE VEHICLES ROUTIN...

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Kadri, A. A. Kacem, I. Labadi, K. Univ Lorraine Depatment Comp Sci LCOMS EA 7306 F-57045 Metz France ECAM EPMI F-95092 Cergy Pontoise France

ISBN: (纸本)9789813146969

Public bike sharing systems have been recently implemented in many big cities around the world. They are one of the solutions to face many public transport problems, including traffic congestion, air pollution, global oil prices and global warming. Despite the apparent success of these systems, their exploitation and management imply crucial operational challenges while few scientific works are available to support such complex dynamical systems. The balancing of stations is the most crucial question for their operational efficiency and economic viability. In this paper, we address the problem of balancing of stations with multiple vehicles by considering the static case. A mathematical formulation of the problem is proposed. Two solving methods based on genetic and memetic algorithms are developed. The experiments are performed on a large set of instances.

关键词： Bicycle sharing-systems Scheduling Vehicles routing problem Genetic algorithm Memetic algorithm Branch-and-bound algorithm

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