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在“SpringerLink电子期刊”中，命中：517条，耗时：0.0370316 秒

在所有数据库中总计命中：1,383条

1. Research on Rock Strength Prediction Based on Least Squares Support Vector Machine

作者： Wen Li ; Zhuoying Tan

关键词：Uniaxial compressive strength (UCS) ; Shear strength (SS) ; Prediction model ; Soft computing technique ; Least squares support vector machine (LS ; SVM)

刊名：Geotechnical and Geological Engineering

出版年：2017

2. Least square support vector data description for HRRP-based radar target recognition

作者： Yu Guo ; Huaitie Xiao ; Qiang Fu

关键词：Machine learning ; Least square ; Support vector data description ; High ; resolution range profile ; Radar automatic target recognition

刊名：Applied Intelligence

出版年：2017

3. Online Learning Algorithms for Double-Weighted Least Squares Twin Bounded Support Vector Machines

作者： Juntao Li ; Yimin Cao ; Yadi Wang ; Huimin Xiao

关键词：Support vector machine ; Twin bounded support vector machine ; Double ; weighted mechanism ; Online learning algorithms ; Pruning mechanism

刊名：Neural Processing Letters

出版年：2017

4. A Hybrid Heat Rate Forecasting Model Using Optimized LSSVM Based on Improved GSA

作者： Chao Liu ; Peifeng Niu ; Guoqiang Li ; Xia You ; Yunpeng Ma…

关键词：Supercritical steam turbine ; Heat rate ; Least squares Support vector machines ; Gravitational search algorithm ; Optimization

刊名：Neural Processing Letters

出版年：2017

5. A New Approach for Modeling Sediment-Discharge Relationship: Local Weighted Linear Regression

作者： Ozgur Kisi ; Coskun Ozkan

关键词：Suspended sediment modeling ; Local weighted linear regression ; Least square support vector machine ; Neural networks ; Rating curve

刊名：Water Resources Management

出版年：2017

6. Hyperspectral Image-Based Variety Discrimination of Maize Seeds by Using a Multi-Model Strategy Coupled with Unsupervised Joint Skewness-Based Wavelength Selection Algorithm

作者： Sai Yang ; Qi -Bing Zhu ; Min Huang ; Jian-Wei Qin

关键词：Maize seeds ; Hyperspectral image ; Classification model ; Joint skewness ; based wavelength selection algorithm ; Least square support vector machine

刊名：Food Analytical Methods

出版年：2017

7. Optimized design of tube hydroforming loading path using multi-objective differential evolution

作者： Yu-long Ge ; Xiao-xing Li ; Li-hui Lang…

关键词：Tube hydroforming ; Loading path design ; Multi ; objective optimization ; Differential evolution algorithm ; Least ; squares support vector machine

刊名：The International Journal of Advanced Manufacturing Technology

出版年：2017

8. A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization

作者： S. Balasundaram ; Deepak Gupta ; Subhash Chandra Prasad

关键词：Generalized Hessian approach ; Smooth approximation formulation ; Twin support vector machine

刊名：Applied Intelligence

出版年：2017

9. Improving Forecasting Accuracy of Streamflow Time Series Using Least Squares Support Vector Machine Coupled with Data-Preprocessing Techniques

作者： Aman Mohammad Kalteh

关键词：Monthly streamflow forecasting ; Least squares support vector machine ; Singular spectrum analysis ; Discrete wavelet analysis

刊名：Water Resources Management

出版年：2016

10. Implementation of soft computing approaches for prediction of physicochemical properties of ionic liquid mixtures

作者： Saeid Atashrouz ; Hamed Mirshekar…

关键词：Physicochemical Properties ; Ionic Liquid ; GMDH ; PNN ; LSSVM ; SVM

刊名：Korean Journal of Chemical Engineering

出版年：2017

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