A5010975829- Evaluation and Optimization Models
- Fault Detection and Control Systems
- Neural Networks and Applications
- Gaussian Processes and Bayesian Inference
- Evaluation Methods in Various Fields
- Target Tracking and Data Fusion in Sensor Networks
- Machine Learning in Materials Science
- Cellular Automata and Applications
- Service-Oriented Architecture and Web Services
- Autonomous Vehicle Technology and Safety
- Advanced machining processes and optimization
- Business Process Modeling and Analysis
- Advanced Machining and Optimization Techniques
- Industrial Vision Systems and Defect Detection
- Industrial Technology and Control Systems
- Vehicle Dynamics and Control Systems
- BIM and Construction Integration
- Advanced Decision-Making Techniques
- Advanced Surface Polishing Techniques
- Research studies in Vietnam
- Hydraulic and Pneumatic Systems
- Neural Networks Stability and Synchronization
- Fuzzy Logic and Control Systems
Anhui Polytechnic University
2023
Purdue University West Lafayette
2020-2022
Beihua University
2011-2012
Xiaomi (China)
2006
East China University of Science and Technology
2006
Although many advanced signal processing techniques and novel machine learning algorithms have been applied to the monitoring of grinding processes in literature, most these are only effective under specific conditions unusable other conditions, such as varying wheel types or workpiece materials. This article proposes a robust wear system eliminate restrictions. Physical information generated during process is collected by power sensor, accelerometers, acoustic emission sensors. After...
A novel approach to build a Takagi-Sugeno (T-S) fuzzy model of an unknown nonlinear system from experimental data is presented in the paper. The neuro-fuzzy models or, more specifically, basis function networks (FBFNs) are trained input–output approximate systems for which analytical mathematical not available. Then, T-S derived direct linearization models. operating points chosen using evolutionary strategy minimize global approximation error so that can closely original with reduced number...
In view of target attribute value for different sector number, moreover, also attaches a constraint condition kind mix multi-attribute decision making question, this paper presents set pair analysis decision-making method. Firstly puts forward three typical interval type representation; Then using theory, the unified convert correlate form, Finally has given complex criterion function, which collected Conformity degree criteria and Criteria membership degree. Through construction plan...
To address the difficulties in accurately measuring driving state parameters and road adhesion coefficient, this paper, permanent magnet synchronous motor (PMSM) was selected as automotive in-wheel motor, distributed drive electric vehicle (DDEV) simulation model built based on CarSim MATLAB/Simulink software. PMSM speed estimation by Adaptive Sliding Mode Observer (ASMO) used input information for subsequent studies of coefficient estimation. Next, paper established a nonlinear...
This article uses unascertained mathematics measure model to assess energy-saving conditions of construction management process. The target this method is minimum energy consumption in the whole system and identify factors which may cause wasting happen during construction. can prevent occurrence waste.In order do quantitative analysis evaluation condition, it changes abstract qualitative problem into a index energy-saving.The results obtained reflect process enterprises exhaustively objectively .
In accordance with the Hybrid multi-attribute decision making problem attribute value of several interval uncertainty data information, method is presented. First, paper gives three type representations value, then, makes use set pair, convert into presentation connection number and construct degree matrix problem, at last, computes comprehensive degree, sort choose projects based on new definition risk-priority-degree. The example shows that which integrates certain analysis uncertain...
the fast packet switching (FPS) in computer networks. This paper further extends GCA to effectively solving a class of optimization problems subject binary constraint matrix, including FPS problem and traveling salesman (TSP) that is NP-hard. In contrast Hopfield-type neural networks cellular networks, proposed approach has pyramid architecture evolutionary dynamics related multi-granularity macro-cells. discusses details regarding properties improved GCA. erms solution quality
According to the group decision making problems with alternative preference information in form of ordinal interval, method set pair analysis is offered this paper. First, a description interval given by author, and he analyzes imperfections existing Borda ideal-point shortage. Second, introduced problem , correlate used re-express information, then new ideal point based on contact number distance calculations put forward author. Last, feasibility availability paper illustrated supplier's...