Research on Amplifier Performance Evaluation Based on δ-Support Vector Regression

Research on Amplifier Performance Evaluation Based on δ-Support Vector Regression

Focusing on the amplifier performance evaluation demand, a novel evaluation strategy based on δ-support vector regression (δ-SVR) is proposed in this paper. Lower computer calculation demand is considered firstly. And this is dealt with by the superiority of δ-SVR which can be significantly improved...

Full description

Saved in:

Bibliographic Details
Main Authors:	Xing Huo, Aihua Zhang, Hamid Reza Karimi
Format:	Article
Language:	English
Published:	Wiley 2014-01-01
Series:	Abstract and Applied Analysis
Online Access:	http://dx.doi.org/10.1155/2014/574547
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator
by: Zhan-bo Chen
Published: (2014-01-01)

Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression
by: Rui Xie, et al.
Published: (2021-01-01)

Fault Detection and Diagnosis in Process Data Using Support Vector Machines
by: Fang Wu, et al.
Published: (2014-01-01)

Influence of Support Vector Regression (SVR) on Cryogenic Face Milling
by: Rao M. C. Karthik, et al.
Published: (2021-01-01)

Detecting Anomalies in Meteorological Data Using Support Vector Regression
by: Min-Ki Lee, et al.
Published: (2018-01-01)

Novel Feature Selection Method for Nonlinear Support Vector Regression
by: Kejia Xu, et al.
Published: (2022-01-01)

Identification of Accounting Fraud Based on Support Vector Machine and Logistic Regression Model
by: Rongyuan Qin
Published: (2021-01-01)

Electricity Load Forecasting Using Support Vector Regression with Memetic Algorithms
by: Zhongyi Hu, et al.
Published: (2013-01-01)

Support Vector Regression Based on Grid-Search Method for Short-Term Wind Power Forecasting
by: Hong Zhang, et al.
Published: (2014-01-01)

A Partial Robust M-Regression-Based Prediction and Fault Detection Method
by: Jianfang Jiao, et al.
Published: (2014-01-01)

A quadratic $$\nu $$ ν -support vector regression approach for load forecasting
by: Yanhe Jia, et al.
Published: (2025-01-01)

Optimizing Demand Forecasting Method with Support Vector Regression for Improved Inventory Planning
by: Tryantomo Lokhilmahful Palgunadi, et al.
Published: (2025-01-01)

International Gold Price Forecast Based on CEEMDAN and Support Vector Regression with Grey Wolf Algorithm
by: Wanbo Lu, et al.
Published: (2022-01-01)

Novel Optimized Support Vector Regression Networks for Estimating Fresh and Hardened Characteristics of SCC
by: Babak Naeim, et al.
Published: (2024-12-01)

Support Vector Regression and Beta Distribution for the Modeling of Incumbent Party vote for Presidential Elections
by: R., Kikawa, et al.
Published: (2021)

Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Bearing Fault Diagnosis
by: Jun Shuai, et al.
Published: (2017-01-01)

A hybrid Harris Hawks Optimization with Support Vector Regression for air quality forecasting
by: Essam H. Houssein, et al.
Published: (2025-01-01)

Intelligent Informatization Early Warning Analysis of Agricultural Economy Based on Support Vector Sequential Regression Model
by: Ying Yang
Published: (2021-01-01)

Prediction of Rice Production to Support Food Security in Bogor Regency using Linear Regression and Support Vector Machine (SVM)
by: Ani Apriani, et al.
Published: (2024-04-01)

Appraising the Pile Settlement Rates by Support Vector Regression Optimized Using the Novel Optimization Algorithms
by: Argyros Maris
Published: (2023-06-01)

Prediction of energy consumption in four sectors using support vector regression optimized with genetic algorithm
by: Md. Sadikul Hasan, et al.
Published: (2025-01-01)

Application of Gene Expression Programming and Support Vector Regression models to Modeling and Prediction Monthly precipitation
by: Abazar Solgi, et al.
Published: (2018-03-01)

Coupling Beams’ Shear Capacity Prediction by Hybrid Support Vector Regression and Particle Swarm Optimization
by: Emad A. Abood, et al.
Published: (2025-01-01)

Novel Optimization Algorithms Usage to Model the Compressive Strength of Ultra-High-Performance Concrete in Machine Learning Technique: Support Vector Regression
by: Tianhua Zhou, et al.
Published: (2023-06-01)

Integrating Multilayer Perceptron and Support Vector Regression for Enhanced State of Health Estimation in Lithium-Ion Batteries
by: Sadiqa Jafari, et al.
Published: (2025-01-01)

Amplifying the value of the third space to support strategic curriculum change
by: Annie Yonkers, et al.
Published: (2025-01-01)

The Application of Orthogonal Wavelet Transformation: Support Vector Data Description in Evaluating the Performance and Health of Bearings
by: Weipeng Li, et al.
Published: (2022-01-01)

Finite-Time Control for Attitude Tracking Maneuver of Rigid Satellite
by: Mingyi Huo, et al.
Published: (2014-01-01)

The Implementation of a Support Vector Regression Model Utilizing Meta-Heuristic Algorithms for Predicting Undrained Shear Strength
by: Rami Al-Qasimi, et al.
Published: (2024-12-01)

δ-Small Submodules and δ-Supplemented Modules
by: Yongduo Wang
Published: (2007-01-01)

A Hybrid Sales Forecasting Scheme by Combining Independent Component Analysis with K-Means Clustering and Support Vector Regression
by: Chi-Jie Lu, et al.
Published: (2014-01-01)

Determination of Cefoperazone Sodium in Presence of Related Impurities by Linear Support Vector Regression and Partial Least Squares Chemometric Models
by: Ibrahim A. Naguib, et al.
Published: (2015-01-01)

Analyzing customer churn behavior using datamining approach: hybrid support vector machine and logistic regression in retail chain
by: Mohammad Barzegar, et al.
Published: (2024-12-01)

Seismic Prediction of Porosity in the Norne Field: Utilizing Support Vector Regression and Empirical Models Driven by Bayesian Linearized Inversion
by: Jorge A. Teruya Monroe, et al.
Published: (2025-01-01)

Application of Support Vector Machine in the Evaluation of Table Tennis Motion Profiles
by: Zhiqing Zhang, et al.
Published: (2024-01-01)

PM2.5 Concentration Prediction Based on Markov Blanke Feature Selection and Hybrid Kernel Support Vector Regression Optimized by Particle Swarm Optimization
by: Lian-Hua Zhang, et al.
Published: (2021-02-01)

Improving wheat yield prediction through variable selection using Support Vector Regression, Random Forest, and Extreme Gradient Boosting
by: Juan Carlos Moreno Sánchez, et al.
Published: (2025-03-01)

Evaluation Models for Soil Nutrient Based on Support Vector Machine and Artificial Neural Networks
by: Hao Li, et al.
Published: (2014-01-01)

Mean-Variance optimal portfolio selection integrated with support vector and fuzzy support vector machines
by: Simrandeep Kaur, et al.
Published: (2024-07-01)

Design of a Novel Fractional Whale Optimization-Enhanced Support Vector Regression (FWOA-SVR) Model for Accurate Solar Energy Forecasting
by: Abdul Wadood, et al.
Published: (2025-01-01)