Search Results - (( program implementation learning algorithm ) OR ( parameter identification using algorithm ))
Search alternatives:
- parameter identification »
- implementation learning »
- program implementation »
- identification using »
- learning algorithm »
- using algorithm »
-
1
-
2
-
3
Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
Get full text
Get full text
Thesis -
4
Virtual reality in algorithm programming course: practicality and implications for college students
Published 2024“…The analysis of learning problems shows the unavailability of interactive learning media that can support various learning styles of students in programming algorithm materials. …”
Get full text
Get full text
Get full text
Article -
5
Identification of continuous-time hammerstein system using sine cosine algorithm
Published 2019“…This paper presents the development of identification of continuous-time Hammerstein systems based on Sine Cosine Algorithm (SCA). …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm
Published 2015“…System identification is a technique used to obtain a mathematical model of a system by performing analysis of input-output characteristic of the system. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
7
MULTIVARIABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD
Published 2017“…In this thesis. iterative Leaky Least Mean Squares (LLMS) based methods are proposed to address the limitations ofLS method in MultiInput Multi-Output (MIMO) closed-loop system identification. In this research. novel algorithms have been developed to: (I) isolate the less interacting channe Is using a modified partial correlation algorithm. (2) achieve unbiased and consistent parameter estimates using an iterative LLMS algorithm and (3) develop parsimonious models for closed-loop MIMO systems. …”
Get full text
Get full text
Thesis -
8
Identification of non-linear dynamic systems using fuzzy system with constrained membership functions
Published 2004“…This study deals with the use of the rule-based fuzzy system for the identification of non-linear dynamic systems. …”
Get full text
Get full text
Get full text
Thesis -
9
Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023Conference paper -
10
Hybrid DE-PEM algorithm for identification of UAV helicopter
Published 2014“…Design/methodology/approach – In this study, flight data were collected and analyzed; MATLAB-based system identification algorithm was developed using DE and PEM; parameterized state-space model parameters were estimated using the developed algorithm and model dynamic analysis. …”
Get full text
Get full text
Get full text
Article -
11
Modified multi-verse optimizer for nonlinear system identification of a double pendulum overhead crane
Published 2021“…The HMVOSCA algorithm is used to tune the linear and nonlinear parameters to reduce the gap between the estimated results and the actual results. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
12
Hybrid algorithm for NARX network parameters' determination using differential evolution and genetic algorithm
Published 2013“…A hybrid optimization algorithm using Differential Evolution (DE) and Genetic Algorithm (GA) is proposed in this study to address the problem of network parameters determination associated with the Nonlinear Autoregressive with eXogenous inputs Network (NARX-network). …”
Get full text
Get full text
Get full text
Article -
13
-
14
Effect of parameters variation on the performance of particle swarm optimization algorithm for tag coverage problem of radio frequency identification network
Published 2016“…In this paper, PSO (Particle Swarm Optimization) algorithm is used to optimize the tag coverage problem. …”
Get full text
Get full text
Article -
15
Identification of continuous-time model of hammerstein system using modified multi-verse optimizer
Published 2021“…The mMVO based method is then used for identifying the parameters of linear and nonlinear subsystems in the Hammerstein model using the given input and output data. …”
Get full text
Get full text
Thesis -
16
Segment Particle Swarm Optimization Adoption for Large-Scale Kinetic Parameter Identification of Metabolic Network Model
Published 2018“…The seven sensitive kinetic parameters were used in both the algorithms to minimize the model response errors. …”
Get full text
Get full text
Get full text
Article -
17
A new domain specific scripting language for automated machine learning pipeline
Published 2019“…However, in respond to the implementation difficulty, there exists a limited software tool that support easy implementation for automated machine learning based on Genetic Programming. …”
Get full text
Get full text
Article -
18
Estimation in spot welding parameters using genetic algorithm
Published 2007“…By using Genetic algorithm (GA) the spot welding parameters can be estimated.…”
Get full text
Get full text
Thesis -
19
Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems
Published 2024“…The circular parameters between the pupil and the iris are found using current iris identification techniques but the accuracy creates an issue for the detection process during image processing. …”
Get full text
Get full text
Article -
20
Rapid software framework for the implementation of machine learning classification models
Published 2021“…However, to implement a complete machine learning model involves some technical hurdles such as the steep learning curve, the abundance of the programming skills, the complexities of hyper-parameters, and the lack of user friendly platform to be used for the implementation. …”
Get full text
Get full text
Article
