A5029935292- Iterative Methods for Nonlinear Equations
- Optimal Experimental Design Methods
- Advanced Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Advanced Statistical Process Monitoring
- Probabilistic and Robust Engineering Design
- Manufacturing Process and Optimization
- Scientific Measurement and Uncertainty Evaluation
- Advanced Algorithms and Applications
- Matrix Theory and Algorithms
- Quantum Information and Cryptography
- Fractional Differential Equations Solutions
- Quantum Computing Algorithms and Architecture
- Industrial Vision Systems and Defect Detection
- Evolutionary Algorithms and Applications
- Advanced Sensor and Control Systems
- Land Use and Ecosystem Services
- Heat Transfer and Numerical Methods
- Metaheuristic Optimization Algorithms Research
- Remote Sensing and Land Use
- Additive Manufacturing and 3D Printing Technologies
- Machine Learning and ELM
- Fault Detection and Control Systems
- Advanced ceramic materials synthesis
- Advanced Statistical Methods and Models
Nanjing University of Posts and Telecommunications
2013-2024
Southwest Forestry University
2024
Nantong University
2006-2023
Huazhong University of Science and Technology
2018
Nanjing Normal University
2011-2013
Nanjing University of Science and Technology
2010-2012
State Key Laboratory of Cotton Biology
2012
Cotton Research Institute
2012
Lanzhou University of Technology
2010
State Administration of Foreign Experts Affairs
2007
The robust parameter design of industrial processes and products on the basis concept building quality into a has attracted much attention from researchers practitioners for many years, several methods have been studied in research community. Dual response surface methodology is one most commonly used approaches simultaneously optimizing mean variance engineering. Nevertheless, when relationship between influential input factors output characteristics process very complex (e.g. highly...
Abstract Failure mode and effect analysis (FMEA) is an effective quality tool to eliminate the risks enhance stability safety in fields of manufacturing service industry. Nevertheless, conventional FMEA has been criticized for its drawbacks evaluation process risk factors or determination priority number (RPN), which may lead inaccurate results. Therefore, this paper, we develop a novel method based on rough set interval probability theories. The theory adopted manipulate subjectivity...
Recently, some optimal fourth-order iterative methods for multiple roots of nonlinear equations are presented when the multiplicity m root is known. Different from these known already, this paper presents a new family using modified Newton’s method as its first step. The family, requiring one evaluation function and two evaluations derivative, order. Numerical examples given to suggest that can be competitive with other roots.
The exponentially weighted moving average (EWMA) chart is often designed assuming the process parameters are known. In practice, rarely known and need to be estimated from Phase I samples. Different samples used when practitioners construct their own control chart's limits, which leads "Phase between-practitioners" variability in in-control run length (ARL) of charts. standard deviation ARL (SDARL) a good alternative quantify this Based on SDARL metric, performance EWMA median with...
Abstract Sequential minimal optimization (SMO) algorithm is effective in solving large-scale support vector machine (SVM). The existing algorithms all assume that the kernels are positive definite (PD) or semi-definite (PSD) and should meet Mercer condition. Some kernels, however, such as sigmoid kernel, which originates from neural network then extensively used SVM, conditionally PD certain circumstances; addition, practically, it often difficult to prove whether a kernel PSD not except...