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hydrogen production 18

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A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction Research Article

Shaoqiang YE, Kaiqing ZHOU, Azlan Mohd ZAIN, Fangling WANG, Yusliza YUSOFF

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11, Pages 1574-1590 doi: 10.1631/FITEE.2200334

Abstract: further verification, HS-CS is used to optimize the back propagation neural network (BPNN) to extract weightedfuzzy production rules.Simulation results show that the BPNN optimized by HS-CS can obtain higher classification accuracy of weightedfuzzy production rules.

Keywords： Harmony search algorithm Cuckoo search algorithm Global convergence Function optimization Weightedfuzzy production rule extraction

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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, whichThe existing entity and relation extraction methods that depend on pretrained models have shown promisingEntity extraction models treat characters as basic semantic units while ignoring known character dependencyRelation extraction is based on the hypothesis that the relations hidden in sentences are unified, therebyIn addition, the extraction accuracy of entity relation triplet reaches 83% and 76% on laser industry

Keywords： entity extraction relation extraction prior knowledge domain rule

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Rule-base Self-extraction and Simplification for Fuzzy Systems

Guo Haixiang,Liu Tao,Zhu Kejun

Strategic Study of CAE 2004, Volume 6, Issue 10, Pages 52-58

Abstract:

In this paper, a fuzzy model algorithm for a rule-base self-extraction and simplification is introducedsets by fuzzy similarity analysis method.The similar fuzzy sets are merged to create a common fuzzy set in rule base based on threshold value.Thus a fuzzy system with interpretability and simplicity is obtained.At last, the fuzzy rules of productivity factor of China is extracted by the fuzzy system.

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Predicting the yield of pomegranate oil from supercritical extraction using artificial neural networksand an adaptive-network-based fuzzy inference system

J. Sargolzaei, A. Hedayati Moghaddam

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 3, Pages 357-365 doi: 10.1007/s11705-013-1336-3

Abstract: develop an effective intelligent system to predict the effects of temperature and pressure on an oil extractionneural network (BPNN), a radial basis function neural network (RBFNN) and an adaptive-network-based fuzzy

Keywords： oil recovery artificial intelligence extraction neural networks supercritical extraction

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A Decision-making Method Based on Fuzzy Sets and Rough Sets Theory

Luo Dang

Strategic Study of CAE 2004, Volume 6, Issue 12, Pages 32-36

Abstract: model is presented for dealing with uncertain and imprecise problems, based on the difference between fuzzyThe model is firstly to classify the uncertain examples given using fuzzy clustering analysis, to make

Keywords： fuzzy clustering rough sets decision table decision rule

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Extracting terms from clinical records of traditional Chinese medicine

Cungen Cao,Meng Sun,Shi Wang

Frontiers of Medicine 2014, Volume 8, Issue 3, Pages 347-351 doi: 10.1007/s11684-014-0361-z

Abstract: In this paper, we present a practical iterative extraction method for extracting terms from the recordsThe method is based on a set of extraction rules, the Mesh, and the likelihood ratio technique, and achieved

Keywords： term extraction rule-based likelihood ratio

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Fuzzy Modeling Theory on Production Scheduling： A Survey

Zhang Hong,Li qiqiang,Guo qingqiang,Zhang Peng,Gao Yuan

Strategic Study of CAE 2005, Volume 7, Issue 12, Pages 92-102

Abstract:

A brief survey on classical modeling theory of production scheduling is presented in this paper.With the combination of fuzzy mathematical theory and classical modeling or intelligent methods, a briefsurvey on fuzzy modeling theory is also presented.

Keywords： production scheduling fuzzy mathematics fuzzy modeling

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A Method of Constructing Fuzzy Neural Network Based on Rough Set Theory

Huang Xianming,Yi Jikai

Strategic Study of CAE 2004, Volume 6, Issue 4, Pages 44-50

Abstract:

A new method of constructing fuzzy neural network is presented and Rough set theory is applied toSince Rough set theory has strong numeric analyzing ability and fuzzy neural network has exact functionThen, these rules are applied to constructing neural cell numbers and relative parameters in fuzzy neural

Keywords： fuzzy neural network rough set acquire rule function approaching

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Performance evaluation of an improved biomass-fired cogeneration system simultaneously using extraction

Frontiers in Energy 2022, Volume 16, Issue 2, Pages 321-335 doi: 10.1007/s11708-021-0741-4

Abstract: In place of the traditional single heat source (extraction steam), the extraction steam from the turbineOnce the biomass feed rate and net thermal production remain constant, an increment of 1.36 MW can beexpected in the net electric production, because of the recommended upgrading.

Keywords： biomass-fired cogeneration district heat production system absorption heat pump extraction steam

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Fuzzy Programming Based Modeling of Production Scheduling of Batch Processes

Zhang Hong,Li Chiqiang

Strategic Study of CAE 2004, Volume 6, Issue 10, Pages 65-70

Abstract:

By analyzing certain fuzzy models for production scheduling, the author proposes a general novel fuzzificationmethod based on fuzzy programming for batching production processes and offers a modeling method withfuzzy coefficients.Two fuzzy algorithms based on genetic algorithm, i. e. , fuzzy simulation and SFA algorithm, are adoptedto solve the fuzzy model.

Keywords： production scheduling fuzzy programming batching production processes membership function

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Theory and practice of integrated pillarless coal production and methane extraction in multiseams of

Yuan liang

Strategic Study of CAE 2009, Volume 11, Issue 5, Pages 72-80

Abstract: mining district, systematically describes theories and key technologies of integrated pillarless coal productionand methane extraction with "Y" type ventilation system in multiseams of low permeabilityroadways with innovative fill technologies are developed, and technological innovations in methane extraction

Keywords： coal seams of low-permeability integrated pillarless retained roadway methane coal production andmethane extraction

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Environmental and economic assessment of vegetable oil production using membrane separation and vapor

Weibin Kong, Qi Miao, Peiyong Qin, Jan Baeyens, Tianwei Tan

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 2, Pages 166-176 doi: 10.1007/s11705-017-1616-4

Abstract: Solvent extraction of crude oil from oilseeds is widely applied for its high production capacity andof combining membrane separation and vapor recompression to improve the conventional vegetable oil productionNearly 73% of energy can be saved in the process of vegetable oil extraction by the novel processing

Keywords： vegetable oil solvent-extraction membrane separation vapor recompression environmental and economic assessment

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Physiological functions and clinical implications of the N-end rule pathway

Yujiao Liu,Chao Liu,Wen Dong,Wei Li

Frontiers of Medicine 2016, Volume 10, Issue 3, Pages 258-270 doi: 10.1007/s11684-016-0458-7

Abstract:

The N-end rule pathway is a unique branch of the ubiquitin-proteasome system in which the determinationThe molecular basis of the N-end rule pathway has been elucidated and its physiological functions haveThis review summarized the physiological functions of the N-end rule pathway, introduced the related

Keywords： N-end rule pathway Ate1 cardiovascular development neurogenesis spermatogenesis neurodegenerative disorders

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evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2

Xiaoyan Chen,Wenxia Xiao,Xinchun Li,Jianxun He,Xiaochun Huang,Yuyu Tan

Frontiers of Medicine 2014, Volume 8, Issue 4, Pages 471-476 doi: 10.1007/s11684-014-0365-8

Abstract:

This work aims to estimate the value of diffusion weighted imaging (DWI) and diffusion tensor imaging

Keywords： type 2 diabetes mellitus microalbuminuria diffusion weighted imaging diffusion tensor imaging early-stage

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Study of Dynamic Fuzzy Inference Mechanism of Fault Diagnosis Expert System for Production Line

Tan Li,Liu Jin,Mei Liting

Strategic Study of CAE 2005, Volume 7, Issue 6, Pages 57-60

Abstract:

Developing fault diagnosis expert system for production line, the principle and method of structuringfuzzy inference engine are presented in this paper.Moreover, the idea of dynamic fuzzy relation with real time is introduced.

Keywords： fault diagnosis expert system fuzzy inference

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Title Author Date Type Operation

A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction

Shaoqiang YE, Kaiqing ZHOU, Azlan Mohd ZAIN, Fangling WANG, Yusliza YUSOFF

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

Rule-base Self-extraction and Simplification for Fuzzy Systems

Guo Haixiang,Liu Tao,Zhu Kejun

Journal Article

Predicting the yield of pomegranate oil from supercritical extraction using artificial neural networksand an adaptive-network-based fuzzy inference system

J. Sargolzaei, A. Hedayati Moghaddam

Journal Article

A Decision-making Method Based on Fuzzy Sets and Rough Sets Theory

Luo Dang

Journal Article

Extracting terms from clinical records of traditional Chinese medicine

Cungen Cao,Meng Sun,Shi Wang

Journal Article

Fuzzy Modeling Theory on Production Scheduling： A Survey

Zhang Hong,Li qiqiang,Guo qingqiang,Zhang Peng,Gao Yuan

Journal Article

A Method of Constructing Fuzzy Neural Network Based on Rough Set Theory