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Fuzzy integral be applied to the diagnosis of gestational diabetes mellitus

Fuzzy integral be applied to the diagnosis of gestational di...

引用

6th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2009

作者： Zhang, Caipo Song, Jinjie Wu, Zhilong Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

This paper will use fuzzy integral to structure the diagnostic model of gestational diabetes mellitus. The Sugeno measure is obtained by training of BP neural network. The BP neural network is easy to get into local optimum, so the algorithm of simulated annealing is used to optimize the BP neural network, and it will obtain an approximate global optimal solution. In this diagnostic model, there are two key factors. One is the degree of fit that the degrees of evidential support for attribute that diagnostic object is gestational diabetes mellitus. The other is the importance of attribute itself. The instances of diabetes illuminate that the method is effective. © 2009 IEEE.

关键词： Simulated annealing

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Genetic algorithm based on sugeno integral

Genetic algorithm based on sugeno integral

引用

6th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2009

作者： Wu, Zhilong Song, Jinjie Zhang, Caipo Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

For the actual need of future research and application, this paper proposes a new method that is a new fuzzy control system of fuzzy integral-genetic algorithm (FIGA). By fuzzy integral, it can study comprehensive evaluation of population diversity and individual quantity on three attributes: individual difference extent, the difference extent of individual's fitness and the difference extent of population lifetime, thereby dynamically adjust the rate of crossover (Pc) and mutation rate (Pm) in genetic algorithm. It improves the controller of fuzzy control for parameters Pc and Pm of genetic algorithm. The results of experiment show that the proposed genetic algorithm, combining fuzzy measure and fuzzy integral, performances better than simple genetic algorithm (SGA). © 2009 IEEE.

关键词： Genetic algorithms

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Single image super resolution for license plate

Single image super resolution for license plate

引用

2010 6th International Conference on Natural Computation, ICNC'10

作者： Xue, Yanbing Deng, Wenhui Zhou, Dongsheng Zhang, Hua Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China

ISBN: (纸本)9781424459612

A single image super resolution algorithm for license plate preprocessing is proposed in this paper. The image to be enhanced is modeled as a Markov Random Field and is estimated from the input low resolution image by image patch pairs. From the input image and the training set, observation function and compatibility function can be calculated. Then Bayesian Belief Propagation is used to select the most probable high resolution patches candidate in the MRF model. The experiment shows that using this method can get better license plate with more information for further recognition. © 2010 IEEE.

关键词： Belief propagation

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Parameter selection of support vector regression machine based on differential evolution algorithm

Parameter selection of support vector regression machine bas...

引用

6th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2009

作者： Yu, Qing Liu, Ying Rao, Feng Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 Tianjin China

ISBN: (纸本)9780769537351

This parameters selection is an important issue in the research of Ε -support vector regression machine (Ε -SVRM), whose nature is an optimization selection process. Motivated by the effectiveness of Differential Evolution (DE) algorithm on optimization problem, a new automatic searching method based on DE algorithm was proposed. Experimental results demonstrate that Ε -SVRM model optimization based on DE algorithm has better prediction capability compared with the methods based on Genetic Algorithm (GA), Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO). © 2009 IEEE.

关键词： Ant colony optimization

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Study of semantic-based ontology mapping technology

Study of semantic-based ontology mapping technology

引用

2nd International Workshop on Intelligent systems and Applications, ISA2010

作者： Li, Wen-Jie Xia, Qiu-Xiang Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 Tianjin China

ISBN: (纸本)9781424458745

To implement the interoperation of different ontologies in medical informatics domain and achieve the goal of the sharing and multiplexing of domain knowledge, the heterogeneous problem between ontologies must be solved. Now the best method of resolving ontology heterogeneous is establishing ontology mapping, that is founding the semantic relations between ontologies and making corresponding mapping rules firstly, and then integrating all independent ontologies into a whole to be operated. In order to produce mapping-pairs and implement ontology mapping and realizing knowledge sharing, a concept similarity algorithm combining semantic similarity with semantic relativity is adopted to estimate the similarity between concepts. It has been proved that the evaluation of concept similarity between ontologies is more accurate by considering both semantic similarity and semantic relativity, and it has laid a good foundation for establishing mapping-pairs and knowledge sharing model based on ontology mapping. ©2010 IEEE.

关键词： Ontology

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The neural network proportion integral differential controller and the application on mill hydraulic pressure automatic gauge control system

The neural network proportion integral differential controll...

引用

5th International Conference on Natural Computation, ICNC 2009

作者： Wang, Xiaoye Zhang, Hua Xiao, Yingyuan Zhang, Degan Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 Tianjin China

ISBN: (纸本)9780769537368

This paper presents a neural network proportion integral differential (PID) controller for automatic gauge control (AGC) system of rolling mill, it is an high non-linear and time-varying system. The traditional PID controller has the invariable parameters. However in the actual factory, the environment of the controlled object is often changed. If the three parameters of PID controller can't adjusted adaptively, the controller will have a badly control effect. The neural network can adjust the three parameter based on the control error. If the control error becomes zero, the parameter didn 't adjust too. The simulation shows that neural network PID controller has good dynamic quality. The control system has short response time, small over modulation, highly steady state behavior and robustness comparing with the traditional PID controller. © 2009 IEEE.

关键词： Controllers

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Multi-frame image super-resolution reconstruction based on GPOF registration and L1-norm

Multi-frame image super-resolution reconstruction based on G...

引用

2010 6th International Conference on Natural Computation, ICNC'10

作者： Zhang, Lan Zhang, Hua Zhang, Simiao Xue, Yanbing Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education Tianjin 300191 China

ISBN: (纸本)9781424459612

We propose a robust approach of producing a high-resolution (HR) image from a sequence of low-resolution(LR), blurred and noisy images. In the proposed approach, we specifically focus on the motion model of Gaussian Pyramid Optical Flow (GPOF) registration which achieves the sub-pixel precision and enables large pixel motions, while keeping the size of the integration window relatively small. In the process of super-resolution reconstruction, our method is based on the use of L1-norm both in the measurement term and the regularization term called Bilateral Total Variation (BTV) as the prior model to penalize high spatial frequency signals and preserve edges. Specially, we introduce the Median "shift and add" idea to initialize the HR image value in the iterative steps for the optimization of the objective function, when the motions between LR frames are pure translations and the blur is space invariant. ©2010 IEEE.

关键词： Optical flows

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DenseNet+inception and its application for electronic transaction fraud detection 21

DenseNet+inception and its application for electronic transa...

引用

21st IEEE International Conference on High Performance computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and systems, HPCC/SmartCity/DSS 2019

作者： Chen, Zhuo Liu, Guanjun Department of Computer Science Key Laboratory of the Ministry of Education for Embedded System and Service Computing Shanghai Electronic Transactions and Information Service Collaborative Innovation Center Tongji University Shanghai China

ISBN: (纸本)9781728120584

With the development of online payment, electronic transaction fraud events also take place often and result in huge financial losses. Recently, DenseNet as one of the most prominent Convolutional Neural Networks (CNNs) has achieved a remarkable success in many applications such as image recognition. However, when we apply DenseNet to the electronic transaction fraud detection in which the original data is directly as the input of DenseNet, a perfect performance cannot be obtained since the transaction data is different from the image data and the features of the original transaction data are not rich. The Inception module used in GoogLeNet (a kind of CNN) has different convolution kernels of different sizes and thus can enhance the feature mining ability. In this paper, we improve DenseNet (iDenseNet for short) in order to suit electronic transaction data and then propose two integration patterns of iDenseNet and Inception module. Experiments are done on two large datasets with millions of transaction records and compare our methods with CNN, DenseNet and Random Forest that are the state-of-the-art methods used in electronic transaction fraud detection. Results illustrate better performances of our methods. © 2019 IEEE.

关键词： Large dataset

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Study of concept similarity algorithm based on ontology structure

Study of concept similarity algorithm based on ontology stru...

引用

International Conference on E-Business and E-Government

作者： Li, Wenjie Xia, Qiuxiang Zhao, Yan Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 Tianjin China

ISBN: (纸本)9780769539973

According to the structural characteristics of Ontology model, analyze the concept similarity computation basing on the width, depth and density among the concepts of Ontology model. Consider these aspects as structural fact and combine other facts such as semantic contact ratio and semantic distance, an algorithm of semantic similarity computation based on ontology structure is proposed. Through constructing Ontology model and the analysis experiment, summarizing the effects to the Ontology concepts semantic similarity of different facts about Ontology structure. © 2010 IEEE.

关键词： Ontology

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Research on domain ontology-based concept similarity calculation

Research on domain ontology-based concept similarity calcula...

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2nd International Conference on Engineering and technology Innovation 2012, ICETI 2012

作者： Li, Wenjie Shi, Shasha Liu, Si Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300384 Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology 300384 Tianjin China

ISBN: (纸本)9783037856123

Similarity computing of ontological concept has made rapid progress in the field of data mining, information processing and artificial intelligence and becoming one of the hot research field of information technology, particularly the idea of the semantic Web was proposed in 2000, the concept of semantic similarity has gotten more attention, while also facilitating its further development and application in information retrieval. Considering the deficiencies of existing concept similarity algorithm, this paper design the method to reduce the candidate set of domain concept, and put forward a similarity calculation model based on the concept name, instances, properties, and semantic structure of domain ontology. Integrated several main influencing factors, the experiments show the proposed algorithm can express the impact of various factors on the similarity in the calculation concept similarity of domain ontology. By comparing with the traditional similarity method and expertise experience value, the experiment result shows that the effectiveness and correctness of the concept similarity calculation model. © (2013) Trans Tech Publications, Switzerland.

关键词： Data mining

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