An Image Classification Method Based on Optimized Fuzzy Bag-of-words Model

Li, Zilong; Zhou, Yong; Bao, Rong

doi:10.18280/ts.360306

Cited by 14 publications

(9 citation statements)

References 20 publications

(29 reference statements)

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“…As mentioned previously, the concepts of fuzzy logic [29][30][31][32][33] was extended to type-2 fuzzy logic. In our work, Type-2 fuzzy logic will be used to design adaptive filters.…”

Section: Type-2 Fuzzy Adaptive Filtermentioning

confidence: 99%

TLBO Optimization Algorithm Based-Type2 Fuzzy Adaptive Filter for ECG Signals Denoising

Ouali¹,

Ghanai²,

Chafaa³

2020

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A novel type2-fuzzy adaptive filter is presented, which uses the concepts of type2-fuzzy logic, for electrocardiogram signals denoising. Type2-fuzzy adaptive filter is an information processor where both numerical and linguistic information are used as input-output pairs and fuzzy if-then rules, respectively. The proposed approach is based on an iterative procedure to achieve acceptable information extraction in the case where the statistical characteristics of the input-output signals are unknown. The proposed filter is presented as a dual-layered feedback system. Each layer has different function, the first layer being the type2-fuzzy autoregressive filter model. The second layer being responsible for training the membership function parameters. The second layer adjusts the type2-fuzzy adaptive filter parameters by using a teaching learning-based optimization algorithm (TLBO), which will allow the reaching of the required signal reconstruction by decreasing the criterion function. The proposed filter is validated and evaluated through some experimentations using the MIT-BIH ECGs databases where various artifacts were added to the ECGs signals; these included real and artificial noise. For comparison purposes, both model and non-modelbased methods recently published are used. Furthermore, the effect of the proposed filter on the malformation of diagnostic features of the ECG was studied and compared with several benchmark schemes. The results show that the proposed method performs better denoising for all noise power levels and for a different criteria viewpoint.

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“…As mentioned previously, the concepts of fuzzy logic [29][30][31][32][33] was extended to type-2 fuzzy logic. In our work, Type-2 fuzzy logic will be used to design adaptive filters.…”

Section: Type-2 Fuzzy Adaptive Filtermentioning

confidence: 99%

TLBO Optimization Algorithm Based-Type2 Fuzzy Adaptive Filter for ECG Signals Denoising

Ouali¹,

Ghanai²,

Chafaa³

2020

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“…According to the fuzzy system theory [22][23][24][25][26][27], for the i-th object to be evaluated, the Euclidean distances ij D  and ij D  between it and the gray positive ideal interval j U  and the grey negative ideal interval j U  with respect to the j-th evaluation indicator are: According to the gray system theory [28][29][30][31], for the i-th object to be evaluated, the gray correlation coefficients ij…”

Section: Multi-attribute Fuzzy Decision-making Analysismentioning

confidence: 99%

Comprehensive Evaluation of Music Course Teaching Level Based on Improved Multi-attribute Fuzzy Evaluation Model

Yang

2020

Int. J. Emerg. Technol. Learn.

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Aiming at the problems of multi-attribute fuzzy information and imperfect evaluation system existing in the current evaluation process of music course teaching level, the paper studies the multi-attribute fuzzy evaluation of music course teaching level, analyzes the influencing factors of music course teaching level, and establishes an improved music course teaching level evaluation system; then on this basis, combining with the fuzzy system theory, grey system theory and entropy weight method, it proposes a multi-attribute fuzzy evaluation model of music course teaching level to realize the quantitative analysis of music course teaching level, which has good engineering application value. At the same time, the paper also puts forward some strategies and suggestions to improve the teaching level of music courses, which are of good guidance and reference significance for improving the teaching quality of music courses.

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“…e dispatching of common rail dual AGVs is a typical TRSP in factories to quickly dispatch materials between tanks or automatically schedule express delivery in warehouses. Traditionally, this novel and specific problem is solved by simple heuristic algorithms, such as genetic algorithms (GA) and [7][8][9][10] particle swarm optimization (PSO) [11][12][13]. Due to the sheer scale of the problem, it is difficult for these algorithms to converge to the global optimal solution.…”

Section: Introductionmentioning

confidence: 99%

A Novel Scheduling Algorithm for Common Rail Dual Automatic Guided Vehicles Particle Filtering Algorithm for Industrial Process Control

Gao

Lou

Lü

2021

Mathematical Problems in Engineering

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This paper explores deep into the collaborative scheduling of common rail dual automatic guided vehicles (AGVs). Firstly, a dual AGV scheduling model was constructed to minimize the overall time of material distribution. Then, a novel scheduling algorithm was developed to dynamically plan the orders based on time windows. To effectively minimize the distribution time, heuristic algorithms were adopted to initialize the distribution order of materials. On this basis, the collaboration between the two AGVs was innovatively designed based on dynamic planning and time windows, making up for the defects of traditional methods in AGV cooperation. This greatly shortens the running time of the entire system in material distribution. The computing results fully demonstrate the efficiency and rationality of our algorithm. Finally, our algorithm was proved to be superior to the benchmark method through experiments on actual industrial instances.

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An Image Classification Method Based on Optimized Fuzzy Bag-of-words Model

Cited by 14 publications

References 20 publications

TLBO Optimization Algorithm Based-Type2 Fuzzy Adaptive Filter for ECG Signals Denoising

TLBO Optimization Algorithm Based-Type2 Fuzzy Adaptive Filter for ECG Signals Denoising

Comprehensive Evaluation of Music Course Teaching Level Based on Improved Multi-attribute Fuzzy Evaluation Model

A Novel Scheduling Algorithm for Common Rail Dual Automatic Guided Vehicles Particle Filtering Algorithm for Industrial Process Control

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