Search Results - (( based optimisation based algorithm ) OR ( parameter evaluation method algorithm ))
Search alternatives:
- parameter evaluation »
- based optimisation »
- optimisation based »
- evaluation method »
- method algorithm »
-
1
Aco-based feature selection algorithm for classification
Published 2022“…The modified graph clustering ant colony optimisation (MGCACO) algorithm is an effective FS method that was developed based on grouping the highly correlated features. …”
Get full text
Get full text
Thesis -
2
Optimising neural network training efficiency through spectral parameter-based multiple adaptive learning rates
Published 2024Get full text
Get full text
Get full text
Conference or Workshop Item -
3
Genetic algorithm for control and optimisation of exothermic batch process
Published 2013“…As such, another approach, GA is proposed to optimise the productivity without referring to a predetermined profile, namely genetic algorithm optimiser (GAO). …”
Get full text
Get full text
Get full text
Thesis -
4
Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification
Published 2023“…The performance of FESSIC was evaluated against ten benchmark image classification algorithms and six classifiers on four ground-based sky image datasets. …”
Get full text
Get full text
Get full text
Thesis -
5
PID-based control of a single-link flexible manipulator in vertical motion with genetic optimisation
Published 2009“…The important point is to evaluate the range of PID parameter which used in the GAs programmed to find the best value of this parameter. …”
Get full text
Get full text
Get full text
Proceeding Paper -
6
Development of soft computing prediction model for the influent physicochemical characteristics of sewage treatment plants / Mozafar Ansari
Published 2021“…The best algorithm for each parameter was selected based on these criteria. …”
Get full text
Get full text
Get full text
Thesis -
7
Analysis of the ECG signal using SVD-based parametric modelling technique
Published 2011“…A two-stage procedure is then used to estimate the EDS model parameters. Prony’s algorithm is first used to obtain initial estimates of the model, while the Gauss-Newton method is applied to solve the non-linear least-square optimisation problem. …”
Get full text
Get full text
Get full text
Proceeding Paper -
8
Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
9
Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor
Published 2008“…The design and optimisation of the FLC are carried out using an adaptive fuzzy inference system network that uses the backpropagation, least square and gradient algorithms. …”
Get full text
Get full text
Thesis -
10
Seamless vertical handover technique for vehicular ad-hoc networks using artificial bee colony-particle swarm optimisation
Published 2019“…Firstly, we proposed a multi-criteria artificial bee colony hybrid with particle swarm optimisation algorithm (MC ABC-PSO) for evaluating the information gathered from the mobile nodes in the handover. …”
Get full text
Get full text
Thesis -
11
Modelling and calibration of high-pressure direct injection compressed natural gas engine
Published 2021“…An optimal Artificial Neural Network (ANN) model is required to facilitate model-based calibration (MBC) procedure. A proper setting for the MBC procedure using the Genetic Algorithm (GA) needs to be identified. …”
Get full text
Get full text
Thesis -
12
New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab. Aziz
Published 2014“…At this stage, two popular SVM selection parameter methods, trial and error and cross validation were investigated and compared. …”
Get full text
Get full text
Thesis -
13
-
14
Instance matching framework for heterogeneous semantic web content over linked data environment
Published 2021“…The output of each algorithm is evaluated, the results have shown that each algorithm performs well and outperforms the existing algorithms on all test cases in terms better output generation and effective handling of heterogeneity from different domains, which is a necessary concern in all data-intensive problems. …”
Get full text
Get full text
Thesis -
15
Impact of low-dose protocols on computed tomography of lung cancer screening on the intrinsic performance metrics: a phantom study
Published 2023“…Introduction: This research aims to assess the task-based performance of low dose CT lung examination with different acquisition parameters, evaluate the acquisition parameters of lung cancer in low dose CT lung examination, and explore the effect of the iterative reconstruction (IR) algorithm on the image quality of low dose CT for CT lung examination. …”
Get full text
Get full text
Conference or Workshop Item -
16
PATCH-IQ: A Patch Based Learning Framework For Blind Image Quality Assessment
Published 2017“…However, this approach requires an intensive training phase to optimise the regression parameters. In this paper, we overcome this limitation by proposing an alternative BIQA model that predicts image quality using nearest neighbour methods which have virtually zero training cost. …”
Get full text
Get full text
Get full text
Get full text
Article -
17
-
18
-
19
-
20
Optimization Of Pid Controller Using Grey Wolf Optimzer And Dragonfly Algorithm
Published 2018“…The expected result is the algorithms are able to optimise the PID controller. …”
Get full text
Get full text
Monograph