Search Results - (( data collection based algorithm ) OR ( parameter estimation method algorithm ))
Search alternatives:
- estimation method »
- collection based »
- method algorithm »
- parameter »
-
1
Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm
Published 2015“…In this paper, a technique termed as Simultaneous Model Order and Parameter Estimation (SMOPE), which is specifically based on Gravitational Search Algorithm (GSA) is proposed to combine model order selection and parameter estimation in one process. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
2
Simultaneous Computation of Model Order and Parameter Estimation of a Heating System Based on Gravitational Search Algorithm for Autoregressive with Exogenous Inputs
Published 2015“…In this paper, an approach termed as Simultaneous Model Order and Parameter Estimation (SMOPE), which is basically based on Gravitational Search Algorithm (GSA), is proposed to combine these two parts into a simultaneous solution. …”
Get full text
Get full text
Get full text
Article -
3
Optimization of ANFIS with GA and PSO estimating α ratio in driven piles
Published 2020“…A learning fuzzy-based algorithm was used to train the ANFIS model in the MATLAB software. …”
Get full text
Get full text
Get full text
Article -
4
Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff
Published 2014“…Due to the complexity of GMM, we use Expectation Maximization (or EM) algorithm by Dempster et al. (1977) to obtain the maximum likelihood estimates of the GMM parameters. …”
Get full text
Get full text
Get full text
Thesis -
5
UAV-based PM₂.₅ monitoring system for small scale urban areas
Published 2018“…Observations based on UAV-based PM2.5 monitoring sensors were applied around 1.6 km² area for collecting data at low altitude. …”
Get full text
Get full text
Thesis -
6
Use of AR Block Processing for Estimating the State Variables of Power System
Published 2008“…Samples of the local utility network for 103-bus parameter are collected and simulated using Burg and Modified Covariance algorithm to estimate the state variables. …”
Get full text
Get full text
Conference or Workshop Item -
7
Design of artificial intelligence based speed estimator for DC drives / Pauziah Saleh
Published 2006“…This thesis describes the design of Artificial Intelligence Based speed estimator for separately excited DC motor using feedforward backpropagation method. …”
Get full text
Get full text
Thesis -
8
Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani
Published 2018“…To evaluate the performance of the Weibull parameters’ estimator methods, two sets of data are considered, one based on simulated data with different random variable size and the other based on actual data collected from a wind farm in Iran. …”
Get full text
Get full text
Get full text
Thesis -
9
Improved genetic algorithm for direct current motor high speed controller implemented on field programmable gate array
Published 2019“…There are many researches have been done to optimize PI controller based evolutionary algorithm, such as Genetic Algorithm (GA). …”
Get full text
Get full text
Thesis -
10
Robust techniques for linear regression with multicollinearity and outliers
Published 2016“…Hence, we propose a new estimation method namely the modified GM-estimator (MGM) based on MGDFF. …”
Get full text
Get full text
Thesis -
11
Age Estimation of Cellulose Paper Insulation in Power Transformers Using ANN
Published 2023Conference Paper -
12
Prediction of building damage induced by tunnelling through an optimized artificial neural network
Published 2018“…Ground surface movement due to tunnelling in urban areas imposes strains to the adjacent buildings through distortion and rotation, and may consequently cause structural damage. The methods of building damage estimation are generally based on a two-stage procedure in which ground movement in the greenfield condition is estimated empirically, and then, a separate method based on structural mechanic principles is used to assess the damage. …”
Get full text
Get full text
Article -
13
Prediction of building damage induced by tunnelling through an optimized artificial neural network
Published 2019“…Ground surface movement due to tunnelling in urban areas imposes strains to the adjacent buildings through distortion and rotation, and may consequently cause structural damage. The methods of building damage estimation are generally based on a two-stage procedure in which ground movement in the greenfield condition is estimated empirically, and then, a separate method based on structural mechanic principles is used to assess the damage. …”
Get full text
Get full text
Article -
14
Development And Verification Of Traffic Noise Estimation Using Quarry Environmental Modeling (Qem)
Published 2017“…The data collected was analyzed using IBM SPSS 13.0 software package. …”
Get full text
Get full text
Monograph -
15
Adaptive template matching of photoplethysmogram pulses to detect motion artefact
Published 2018“…The performance of our algorithm was evaluated using data obtained from two different sources: (i) our own data collected from 19 healthy subjects using the wearable Sotera Visi Mobile system (Sotera Wireless Inc.) as they performed various movement types; and (ii) ICU data provided by the PhysioNet MIMIC II database. …”
Get full text
Get full text
Article -
16
Modeling of cupping suction system based on system identification method
Published 2022“…Cupping suction plant identification utilizing a nonlinear model based on the modified Sine Cosine Algorithm (mSCA). …”
Get full text
Get full text
Undergraduates Project Papers -
17
Neural network based adaptive pid controller for shell-and-tube heat exchanger
Published 2019“…The dynamic behavior of the process is accurately modeled using nonlinear ARX model with 96.17% of validation accuracy and 97.5% of fit to estimation accuracy. Dynamic time series neural network model was used together with Levenberg-Marquardt algorithm as the training method. …”
Get full text
Get full text
Student Project -
18
Neural network based adaptive pid controller for shell-and-tube heat exchanger: article
Published 2019“…The dynamic behavior of the process is accurately modeled using nonlinear ARX model with 96.17% of validation accuracy and 97.5% of fit to estimation accuracy. Dynamic time series neural network model was used together with Levenberg-Marquardt algorithm as the training method. …”
Get full text
Get full text
Article -
19
Machine condition monitoring and fault diagnosis using spectral analysis techniques
Published 2001“…Both normal and fault signals are analyzed using the singular value decomposition (SVD) algorithm so as to compute the parameters of the auto regressive moving average (ARMA) models. …”
Get full text
Get full text
Proceeding Paper -
20
Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…A computationally simple two-step iterative algorithm, called estimationapproximation algorithm, is introduced for estimating the parameters of the model on the basis of the rank estimators. …”
Get full text
Get full text
Get full text
Thesis
