Search Results - (( using function methods algorithm ) OR ( parameter identification task algorithm ))
Search alternatives:
- parameter identification »
- identification task »
- methods algorithm »
- function methods »
- using function »
- task algorithm »
-
1
New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab. Aziz
Published 2014“…The competency of VSCI was corroborated in three tasks; weak bus identification, automatic line outage contingency ranking and weak area identification. …”
Get full text
Get full text
Thesis -
2
Hybrid fault detection using kalman filter and neural network for quadrotor micro aerial vehicle
Published 2018“…ANN is an algorithm that is used to determine the fault condition and determine its severity in the quadrotor system. …”
Get full text
Get full text
Thesis -
3
-
4
Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization
Published 2008“…Voice identification is a task of identifying a person based on the content of information in one’s voice signal which distinguishes his/hers from voices of other people. …”
Get full text
Get full text
Proceeding Paper -
5
Artificial Bee Colony algorithm in estimating kinetic parameters for yeast fermentation pathway
Published 2023“…This step is essential because insufficient identification of model parameters can cause erroneous conclusions. …”
Get full text
Get full text
Get full text
Article -
6
Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm
Published 2021“…An engineering optimization application was chosen to evaluate the performance of the algorithm in complex engineering applications. The optimization task involved hysteresis parameter identification of the root mean square error between the model and an actual magnetorheological damper. …”
Get full text
Get full text
Get full text
Article -
7
-
8
Recent advances in meta-heuristic algorithms for training multilayer perceptron neural networks
Published 2025“…Despite the growing use of MHAs, existing studies often focus on specific subsets of algorithms or narrow application domains, leaving a gap in understanding their comprehensive potential and comparative performance across diverse classification tasks. …”
Get full text
Get full text
Get full text
Article -
9
Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection
Published 2022“…The proposed EBGWO algorithm can be used for FS in anomaly detection tasks that involve any dataset size from various application domains.…”
Get full text
Get full text
Thesis -
10
-
11
A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
Published 2022“…The Eq-CLMS algorithm eliminates the need for a pre-coded value of the q-parameter thereby automatically adapting to the best value. …”
Get full text
Get full text
Article -
12
A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
Published 2022“…The Eq-CLMS algorithm eliminates the need for a pre-coded value of the q-parameter thereby automatically adapting to the best value. …”
Get full text
Get full text
Article -
13
A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
Published 2023“…The Eq-CLMS algorithm eliminates the need for a pre-coded value of the q-parameter thereby automatically adapting to the best value. …”
Get full text
Get full text
Article -
14
Finding the root of nonlinear function using five bracketing method / Nur Afiqah Mohamed Azhar
Published 2019“…Therefore, numerical method in the form of bracketing method is often used to find only the approximate root of the function. …”
Get full text
Get full text
Thesis -
15
Enhancing Wearable-Based Human Activity Recognition with Binary Nature-Inspired Optimization Algorithms for Feature Selection
Published 2026“…This research paper explores the performance of binary nature-inspired optimization algorithms as feature selection to enhance the identification of human activities using wearable technology. …”
Get full text
Get full text
Get full text
Get full text
Article -
16
Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
Published 2018“…The second technique is to solve bi-objective functions by using the BOBAT algorithm. The third technique is an integration of BOGSA with BOBAT to produce a BOGSBAT algorithm. …”
Get full text
Get full text
Thesis -
17
Determining the preprocessing clustering algorithm in radial basis function neural network
Published 2008“…Three types of method used in this study to find the centres include random selections, K-means clustering algorithm and also K-median clustering algorithm. …”
Get full text
Get full text
Article -
18
Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller
Published 2010“…Thus it is important to select the accurate membership functions but these methods possess one common weakness where conventional FLC use membership function and control rules generated by human operator. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
19
The efficiency of conjugate gradient methods with global convergence / Siti Nur Hafiza Shamsudin
Published 2019“…The global convergence result is established using exact line searches. Numerical result shows that algorithm 2 which is one of the proposed CG methods is more efficiency when compared to other algorithms.…”
Get full text
Get full text
Thesis -
20
Statistical data preprocessing methods in distance functions to enhance k-means clustering algorithm
Published 2018“…It shows that the IQR-HEOM method is more efficient to rectify the problem caused by using range in HEOM. …”
Get full text
Get full text
Get full text
Thesis