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Progress in Neural NLP: Modeling, Learning, and Reasoning Review

Ming Zhou, Nan Duan, Shujie Liu, Heung-Yeung Shum

Engineering 2020, Volume 6, Issue 3,   Pages 275-290 doi: 10.1016/j.eng.2019.12.014

Abstract: in tasks such as machine translation, question-answering, and machine reading comprehension based on deepthe neural network-based NLP framework (neural NLP) from three perspectives: modeling, learning, and reasoningWe view reasoning as a new and exciting direction for neural NLP, but it has yet to be well addressedIn the reasoning section, we will review reasoning mechanisms, including the knowledge, existing non-neuralWe emphasize the importance of reasoning in this paper because it is important for building interpretable

Keywords： Natural language processing     Deep learning     Modeling     learning     and Reasoning    

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Learning deep IA bidirectional intelligence Personal View

Lei XU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4,   Pages 558-562 doi: 10.1631/FITEE.1900541

Abstract: There has been a framework sketched for learning deep bidirectional intelligence.One is called I-S reasoning, which makes inference and synthesis (I-S) and is responsible for performingBased on this framework, we further discuss the possibilities of design intelligence through synthesis reasoning

Keywords： Least mean square error reconstruction (Lmser)     Cognition     Image thinking     Abstract thinking     Synthesis reasoning    

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Characters of topological relations and its applications in spatial reasoning

Li Chengming and Liu Xiaoli

Strategic Study of CAE 2013, Volume 15, Issue 5,   Pages 14-19

Abstract: At last, the applications in spatial reasoning are proposed.

Keywords： topological relationship     composite of topological relations     spatial reasoning     algbra reasoning     logicalreasoning    

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Case-based reasoning for selection of the best practices in low-carbon city development

Zhenhua HUANG, Hongqin FAN, Liyin SHEN

Frontiers of Engineering Management 2019, Volume 6, Issue 3,   Pages 416-432 doi: 10.1007/s42524-019-0036-1

Abstract: This study introduces a case-based reasoning methodology for a specific city to select the best practices

Keywords： low-carbon city     carbon emission     best practices     case-based reasoning    

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A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 414-428 doi: 10.1007/s11705-017-1663-x

Abstract: of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidification reasoningfinding the abnormal state of root node, which has a maximum posterior probability by Bayesian diagnosis reasoningThe accuracy of the test results is up to 95%, which shows that the knowledge reasoning feasibility for

Keywords： aluminum electrolysis cell condition     Fuzzy-Bayesian network     multi-source knowledge solidification and reasoning    

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Challenges and opportunities: from big data to knowledge inAI 2.0 Review

Yue-ting ZHUANG,Fei WU,Chun CHEN,Yun-he PAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 3-14 doi: 10.1631/FITEE.1601883

Abstract: can effectively lead to explainable, robust, and general AI, as follows: from shallow computation to deepneural reasoning; from merely data-driven model to data-driven with structured logic rules models; from

Keywords： Deep reasoning     Knowledge base population     Artificial general intelligence     Big data     Cross media    

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A New Evolution-reasoning Method in Conceptual Design Based on Extension Theory

Hao Yanwei,Liu Haisheng,Zhang Guoxian

Strategic Study of CAE 2003, Volume 5, Issue 5,   Pages 63-69

Abstract:

After existing study methods are analyzed, a new researching model for conceptual design based on extension and genetic algorithms was presented. The inner-model and outer-model of product project were set up with matter elements. In genetic algorithms the coding for individual, the means for cross-over and mutation were all founded based on the inner-model. The fitness function was set up combined with relationship function. The technique solves the innovative and incompatible problems in conceptual design. The feasibility of the new researching model is testified by three conceptual design examples for retarder.

Keywords： conceptual design     matter elements transform     genetic algorithms     evolution reasoning     extension appraisal    

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Application of Uncertainty Reasoning Theory to Satellite Fault Detection and Diagnosis

Yang Tianshe,Li Huaizu,Cao Yuping

Strategic Study of CAE 2003, Volume 5, Issue 2,   Pages 68-74

Abstract:

Generally, reasoning theory can be divided into certainty reasoning theory and uncertainty reasoningcapability, but certainty reasoning theory can not realize the capability.Fortunately, uncertainty reasoning theory can meet this requirement.set theory, evidence reasoning theory, probabilistic reasoning theory, fuzzy reasoning theory, and sotheory of the uncertainty reasoning theory are used respectively.

Keywords： satellite     fault     detection     diagnosis     uncertainty reasoning theory    

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to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Engineering 2017, Volume 3, Issue 1,   Pages 150-150 doi: 10.1016/J.ENG.2017.01.002

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Mathematical Reasoning Challenges Artificial Intelligence

Sean O’Neill

Engineering 2019, Volume 5, Issue 5,   Pages 817-818 doi: 10.1016/j.eng.2019.08.009

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Study and implementation of claim decision support system for large water transfer project

Wang Wei

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 108-112

Abstract: shortage of the experience and expert in construction claim of large water transfer project, case-based reasoning(CBR) and rule-based reasoning (RBR) in artificial intelligence are used in claim management.

Keywords： water transfer project     claim management     case-based reasoning (CBR)     rule-based reasoning (RBR)     decision    

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Evaluation of Corporate Sustainability

Panitas Sureeyatanapas,Jian-Bo Yang,David Bamford

Frontiers of Engineering Management 2014, Volume 1, Issue 2,   Pages 176-194 doi: 10.15302/J-FEM-2014025

Abstract: This paper proposes a series of mathematical formulations based upon the evidential reasoning (ER) approach

Keywords： corporate     organization     sustainability     evidential reasoning     evaluation     assessment    

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: This paper presents a new approach for automatical classification of structural state through deep learning

Keywords： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

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High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Engineering 2016, Volume 2, Issue 3,   Pages 366-373 doi: 10.1016/J.ENG.2016.03.019

Abstract: Based on the temporal fuzzy reasoning method, with some adjustment, a new conflict prediction methodto “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning

Keywords： High-speed railway     Train timetable     Conflict prediction     Fuzzy temporal knowledge reasoning    

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Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

Yang Bingru,Tang Jing

Strategic Study of CAE 2000, Volume 2, Issue 5,   Pages 44-50

Abstract: On this basis, the new logic indeterminate causal inductive automatic reasoning mechanism which is based

Keywords： language value structure     generalized cell automation     generalized inductive logic causal model     automatic reasoning    

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Title Author Date Type Operation

Progress in Neural NLP: Modeling, Learning, and Reasoning

Ming Zhou, Nan Duan, Shujie Liu, Heung-Yeung Shum

Journal Article

Learning deep IA bidirectional intelligence

Lei XU

Journal Article

Characters of topological relations and its applications in spatial reasoning

Li Chengming and Liu Xiaoli

Journal Article

Case-based reasoning for selection of the best practices in low-carbon city development

Zhenhua HUANG, Hongqin FAN, Liyin SHEN

Journal Article

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Journal Article

Challenges and opportunities: from big data to knowledge inAI 2.0

Yue-ting ZHUANG,Fei WU,Chun CHEN,Yun-he PAN

Journal Article

A New Evolution-reasoning Method in Conceptual Design Based on Extension Theory

Hao Yanwei,Liu Haisheng,Zhang Guoxian

Journal Article

Application of Uncertainty Reasoning Theory to Satellite Fault Detection and Diagnosis

Yang Tianshe,Li Huaizu,Cao Yuping

Journal Article

to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Journal Article

Mathematical Reasoning Challenges Artificial Intelligence

Sean O’Neill

Journal Article

Study and implementation of claim decision support system for large water transfer project

Wang Wei

Journal Article

Evaluation of Corporate Sustainability

Panitas Sureeyatanapas,Jian-Bo Yang,David Bamford

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Journal Article

Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

Yang Bingru,Tang Jing

Journal Article