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https://www.sciencedirect.com/science/article/pii/S0378779616304576
Photovoltaic active power generation estimating using the Support Vector Machine technique. • Photovoltaic active power generation estimating using the time-varying Kalman filter technique. • Performance analysis made between artificial neural networks, Support Vector Machine and Kalman filter for photovoltaic active power generation ...Cited by: 17
http://scholarworks.umt.edu/cgi/viewcontent.cgi?article=11667&context=etd
Computational Methods for Support Vector Machine Classification and Large-Scale Kalman Filtering Committee Chair: Johnathan Bardsley, Ph.D. The first half of this dissertation focuses on computational methods for solving the con-strained quadratic program (QP) within the support vector machine (SVM) classifier. One ofAuthor: Marylesa Marie Howard
https://link.springer.com/chapter/10.1007%2F11881070_44
This study develops a hybrid model that combines unscented Kalman filters (UKFs) and support vector machines (SVMs) to implement an online option price predictor. In the hybrid model, the UKF is used...Cited by: 8
https://www.sciencedirect.com/science/article/pii/S0957417407001765
Online option price forecasting by using unscented Kalman filters and support vector machines. Author links open overlay panel Shian-Chang Huang. Show more. ... the support vector machine (SVM) method ... R. van der MerweThe unscented Kalman filter for nonlinear estimation.Cited by: 28
https://www.researchgate.net/publication/335054587_Concurrent_fault_diagnosis_of_modular_multilevel_converter_with_Kalman_filter_and_optimized_support_vector_machine
In this paper, concurrent fault diagnosis problem of modular multilevel converter (MMC) with Kalman filter and optimized support vector machine (SVM) is investigated.
https://www.scientific.net/AMM.437.610
Oct 01, 2013 · An improved method of Kalman filter based on SVM is presented aimed at the sensitiveness of the normal Kalman filter to the system state equation. The method increases the precision of system state equation and improves the performance of Kalman filter effectively. The system state equation can be obtained through the system identification by using Support Vector Machine …Author: Yong Jie Pang, Zhong Hui Hu, Yue Ming Li, Guo Cheng Zhang
https://matlab1.com/kalman-filter/
Kalman Filter A Kalman filter is an optimal recursive data processing algorithm. One of the aspect of this optimality is that the Kalman filter incorporates all the information that can be provided to it. It processes all available measurements, regardless of their precision, to estimate the current value of the variables of interest, with use of knowledge …
https://trid.trb.org/view/1086042
Bus Arrival Time Prediction Model Based on Support Vector Machine and Kalman Filter. Authors presented the bus arrival time prediction model based on support vector machine £¨SVM£© and Kalman filter technique. The SVM which had three input features including, time-of-day, weather and segment was used to predict the baseline of bus running ...
https://journals.sagepub.com/doi/abs/10.1177/1729881418825095
Jan 29, 2019 · Aiming at the inconvenience of obtaining model parameters under the traditional experimental method, this article studies the parameter identification of unmanned marine vehicle’s manoeuvring model based on extended Kalman filter and support vector machine.Cited by: 2
https://www.researchgate.net/publication/276231468_Reducing_Support_Vector_Machine_Classification_Error_by_Implementing_Kalman_Filter
The aim of this is to demonstrate the capability of Kalman Filter to reduce Support Vector Machine classification errors in classifying pipeline corrosion depth.
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