Searching for authors named "Xin Feng" – sorted by Relevance.
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Emerging Personalized Home Rehabilitation: Integrating Service with Interface
- Personalized Home Rehabilitation: Integrating Service with Interface Xin Feng and Jack Winters 1. INTRODUCTION
- Cited by 1 (1 self) – Add To MetaCart
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A New Methodology for Emergent System Identification Using Particle Swarm Optimization (PSO) and Group Method of Data Handling (GMDH)
- ) (Kennedy and Eberhart, 2001a) and Genetic Programming (GP) (Iba and Kurita, 1994). Xin Feng Dept
- Cited by 3 (2 self) – Add To MetaCart
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Arma Model Selection Using Particle Swarm Optimization And Aic Criteria
- PARTICLE SWARM OPTIMIZATION AND AIC CRITERIA 0 1 t−1 2 t−2 m t−m Mark S. Voss a and Xin Feng b a Department
- Cited by 2 (1 self) – Add To MetaCart
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Improving Genetic Algorithms Performance by Hashing Fitness Values
- 1 IMPROVING GENETIC ALGORITHMS PERFORMANCEBY HASHING FITNESS VALUES RICHARD J. POVINELLI AND XIN
- Cited by 5 (5 self) – Add To MetaCart
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Characterization and Prediction of Welding Droplet Release Using Time Series Data Mining
- . POVINELLI AND XIN FENG Department of Electrical and Computer Engineering Marquette University, P.O. Box
- Cited by 1 (0 self) – Add To MetaCart
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Emergent system identification using particle swarm optimization
- Emergent System Identification Using Particle Swarm Optimization b Mark S. Voss a and Xin Feng a
- Cited by 4 (4 self) – Add To MetaCart
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Fault Propagation in Tabular Expression-Based Specifications ∗ Abstract
- in Tabular Expression-Based Specifications ∗ Abstract Xin Feng and David Lorge Parnas Software Quality
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Interfaces
- -Assisted Neurorehabilitation Xin Feng Student Member, IEEE and Jack M. Winters, Member, IEEE Abstract—This paper presents
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Temporal Pattern Identification Of Time
- RICHARD J. POVINELLI AND XIN FENG Department of Electrical and Computer Engineering Marquette University
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Data Mining Of Multiple Nonstationary Time Series
- 1 DATA MINING OF MULTIPLE NONSTATIONARY TIME SERIES RICHARD J. POVINELLI AND XIN FENG Department
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