Search Results - (( initial e learning algorithm ) OR ( java implication tree algorithm ))
Search alternatives:
- learning algorithm »
- java implication »
- implication tree »
- tree algorithm »
- e learning »
- initial e »
-
1
-
2
-
3
Modeling time series data using Genetic Algorithm based on Backpropagation Neural network
Published 2018“…This study showed the task of optimizing the topology structure and the parameter values (e.g., weights) used in the BPNN learning algorithm by using the GA. …”
Get full text
Get full text
Thesis -
4
Ensemble-based machine learning algorithms for classifying breast tissue based on electrical impedance spectroscopy
Published 2020“…The application of artificial intelligence techniques (e.g., machine learning and deep learning) in medical science is becoming increasingly important for intelligently transforming all available information into valuable knowledge. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
5
Integrated Features by Administering the Support Vector Machine of Translational Initiations Sites in Alternative Polymorphic Context
Published 2012“…In this study, support vector machines (SVM) is employed to recognize the patterns for studied translational initiation sites in alternative weak context. The method has been optimized with the best parameters selected; c = 100, E = 10-6 and ex = 2 for non linear kernel function. …”
Get full text
Get full text
Article -
6
Detection on ambiguous software requirements specification written in malay using machine learning
Published 2017“…As the result, the Random Forest algorithm is the best algorithm which is measured based on measurement metric i.e. …”
Get full text
Get full text
Get full text
Thesis -
7
-
8
Artificial neural networks based optimization techniques: A review
Published 2023“…In this paper, we present an extensive review of artificial neural networks (ANNs) based optimization algorithm techniques with some of the famous optimization techniques, e.g., genetic algorithm (GA), particle swarm optimization (PSO), artificial bee colony (ABC), and backtracking search algorithm (BSA) and some modern developed techniques, e.g., the lightning search algorithm (LSA) and whale optimization algorithm (WOA), and many more. …”
Review -
9
A dynamic eLearning prediction modelbased on incomplete activities of eLearning system
Published 2020“…At present, eLearning usage is diverse because the eLearning activities used in teaching and learning differ depending on educators. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
10
Unsupervised Deep Learning Algorithm to Solve Sub-Surface Dynamics for Petroleum Engineering Applications
Published 2020Get full text
Get full text
Conference or Workshop Item -
11
Attacks detection in 6G wireless networks using machine learning
Published 2023Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
12
-
13
Hybridization of metaheuristic algorithm in training radial basis function with dynamic decay adjustment for condition monitoring / Chong Hue Yee
Published 2023“…In this research work, the motivation is to develop an autonomous learning model based on the hybridization of an adaptive ANN and a metaheuristic algorithm for optimizing ANN parameters so that the network could perform learning and adaptation in a more flexible way and handle condition classification tasks more accurately in industries, such as in power systems. …”
Get full text
Get full text
Get full text
Thesis -
14
-
15
Analysis of banana plant health using machine learning techniques
Published 2024Get full text
Get full text
Get full text
Article -
16
Machine Learning Based Optimal Design of On-Road Charging Lane for Smart Cities Applications
Published 2025Article -
17
-
18
CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING
Published 2017“…To overcome these ANN problems, the Genetic Algorithm (GA) has been most frequently used for this purpose, however, some drawbacks of GA include, slow search speed and dependence on initial parameters. …”
Get full text
Get full text
Thesis -
19
Dual optimization approach in discrete Hopfield neural network
Published 2024Get full text
Get full text
Article -
20
Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Although effective, the performance of the k-means clustering algorithm depends heavily on the initial centroids and the number of clusters, k. …”
Get full text
Get full text
Article
