Search Results - (( _ application based algorithm ) OR ( its applications ((out algorithm) OR (means algorithm)) ))
Search alternatives:
- application based »
- its applications »
- means algorithm »
- out algorithm »
-
1
-
2
Support Vector Machines (SVM) in Test Extraction
Published 2006“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
Get full text
Get full text
Final Year Project -
3
Support Vector Machines (SVM) in Test Extraction
Published 2006“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
Get full text
Get full text
Final Year Project -
4
Dynamic modelling of a flexible beam structure using feedforward neural networks for active vibration control
Published 2019“…The performance of modified SFS algorithm to train a nonlinear auto-regressive exogenous model (NARX) structure FNNs-based model of the system was then compared with its predecessor and with several well-known metaheuristic algorithms. …”
Get full text
Get full text
Get full text
Article -
5
Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems
Published 2019“…Due to the problem of the unmodeled dynamics, there is a significant disparity between the theory of control and its actual applications, which makes the model-based controller difficult to apply. …”
Get full text
Get full text
Thesis -
6
Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems
Published 2019“…Due to the problem of the unmodeled dynamics, there is a significant disparity between the theory of control and its actual applications, which makes the model-based controller difficult to apply. …”
Get full text
Get full text
Thesis -
7
SCSA: Evaluating skyline queries in incomplete data
Published 2019“…Due to its great benefits and wide application range, many skyline algorithms have already been proposed in numerous data settings. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
8
-
9
Renewable sources-based automatic load frequency control of interconnected systems using chaotic atom search optimization
Published 2022“…Test results indicate that the proposed algorithm outperforms in terms of mean, standard deviation, and best values. …”
Get full text
Get full text
Article -
10
Development of a hybrid dynamic fuzzy encoder and decoder model for colour QR code
Published 2022“…The FQR code encoder algorithm provided a novel enhancement to the colour QR code by adding a colour reference to its structure. …”
Get full text
Get full text
Thesis -
11
-
12
Data clustering using the bees algorithm
Published 2007Get full text
Get full text
Conference or Workshop Item -
13
-
14
-
15
-
16
Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering
Published 2024“…The fuzzy C-ordered-means clustering (FCOM) is a fuzzy clustering algorithm that enhances robustness and clustering accuracy through the ordered mechanism based on fuzzy C-means (FCM). …”
Get full text
Get full text
Get full text
Get full text
Article -
17
An enhanced simulated kalman filter algorithm and its application in adaptive beamforming
Published 2019“…In this paper, a population based metaheuristic algorithm named Simulated Kalman Filter with Modified Measurement (SKFMM) is proposed for adaptive beamforming application. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
18
A Comparative Study Of Fuzzy C-Means And K-Means Clustering Techniques
Published 2014Get full text
Get full text
Get full text
Conference or Workshop Item -
19
A modified generalized RBF model with EM-based learning algorithm for medical applications
Published 2006“…Moreover, GRBF trained by the new algorithm has an apparent statistical meaning. Experimental results show potentials for real-life applications.…”
Get full text
Get full text
Get full text
Proceeding Paper -
20
Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…Subsequently, the THF modelling scheme can be incorporated into an established real time NLFXLMS algorithm termed THF-NLFXLMS algorithm. The developed THF-NLFXLMS algorithm is tested by means of simulation and implemented experimentally using FPGA-based real time controller for a nonlinear ANC application. …”
Get full text
Get full text
Thesis
