Search Results - (( case generation learning algorithm ) OR ( using optimization method algorithm ))
Search alternatives:
- generation learning »
- learning algorithm »
- method algorithm »
- case generation »
-
1
Performances Of Metaheuristic Algorithms In Optimizing Tool Capacity Allocations
Published 2014“…To achieve the best allocation, optimization methods, such as metaheuristic algorithms are commonly used. …”
Get full text
Get full text
Thesis -
2
Optimal power flow based on fuzzy linear programming and modified Jaya algorithms
Published 2017“…Meanwhile, the proposed QOJaya algorithm produces better results than the basic Jaya method in terms of solution optimality and convergence speed. …”
Get full text
Get full text
Thesis -
3
Opposition- based simulated kalman filters and their application in system identification
Published 2017“…Metaheuristic optimization algorithms are well-established techniques to address those problems which are difficult to solve through traditional optimization methods. …”
Get full text
Get full text
Thesis -
4
Gravitational Search Algorithm Based LSTM Deep Neural Network for Battery Capacity and Remaining Useful Life Prediction With Uncertainty
Published 2025“…The proposed method is assessed using aging data from the NASA battery dataset. …”
Article -
5
A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing
Published 2024“…To summarise, metaheuristic algorithms can give a superior optimization approach than the traditional artificial neural network method, providing the computing time is within an acceptable range. …”
Get full text
Get full text
Get full text
Thesis -
6
An evolutionary based features construction methods for data summarization approach
Published 2015“…A data summarization approach is proposed due to its capability to learn data stored in multiple tables. In other words, this research will discuss the application of genetic algorithm to optimize the feature construction process from the Coral Reefs data to generate input data for the data summarization method called Dynamic Aggregation of Relational Attributes (DARA). …”
Get full text
Get full text
Research Report -
7
Development of a multi criteria decision support system using convolutional neural network and jaya algorithm for water resources management / Chong Kai Lun
Published 2021“…In addition, the confidence level was built using the percentile-t-method (or bootstrap-t-method). …”
Get full text
Get full text
Get full text
Thesis -
8
Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower
Published 2018“…The modal frequencies of the tower are evaluated under various conditions of damage in concrete and connection in different parts of the tower by using finite element simulation. The results are used to develop the hybrid learning algorithm based on the AdaBoost, Bagging, and RUSBoost methods to predict the damage in the tower based on dynamic frequency domain. …”
Get full text
Get full text
Thesis -
9
Deep continual learning for predicting blast-induced overbreak in tunnel construction / He Biao
Published 2024“…Its ability of continual learning is highly applicable to actual tunnel blasting cases. …”
Get full text
Get full text
Get full text
Thesis -
10
Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin
Published 2021“…Instead of randomly selecting the inputs, the test generator learns how to act in an optimal way that explores new states by using new actions to gain more rewards. …”
Get full text
Get full text
Get full text
Thesis -
11
Nature-Inspired cognitive evolution to play Ms. Pac-Man
Published 2011“…The focus of this research is to explore the hybridization of nature-inspired computation methods for optimization of neural network-based cognition in video games, in this case the combination of a neural network with an evolutionary algorithm. …”
Get full text
Get full text
Get full text
Article -
12
Determining malaria risk factors in Abuja, Nigeria using various statistical approaches
Published 2018“…Based on cross-validation analysis, the score-based algorithm outperformed the constraint-based algorithms in the structural learning. …”
Get full text
Get full text
Thesis -
13
CFD modeling on coal properties towards the burnout efficiency
Published 2024text::Final Year Project -
14
Comparisons of automated machine learning (AutoML) in predicting whistleblowing of academic dishonesty with demographic and theory of planned behavior
Published 2023“…Additionally, the correlations weight from demographic and Theory of Planned Behavior (TOB) attributes in the different machine learning models are also discussed. All the machine learning algorithms from TPOT and AutoModel are considerable powerful to generate good accuracy level (between 70â��93 of AUC) in classifying both cases of whistleblowing and non-whistleblowing on the hold-out samples from the testing process. …”
Get full text
Get full text
Article -
15
Inversion of 2D and 3D DC resistivity imaging data for high contrast geophysical regions using artificial neural networks / Ahmad Neyamadpour
Published 2010“…In order to study the effect of data pool formation in training the neural network, two methods have been used to generate the synthetic data. …”
Get full text
Get full text
Thesis -
16
Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis
Published 2017“…Hybrid neural network was utilized as an evaluation method to select the optimal selection method and optimal training algorithm. …”
Get full text
Get full text
Thesis -
17
Automated bilateral negotiation with incomplete information in the e-marketplace.
Published 2011“…The reason is that, SRT algorithm is sensitive to the accuracy of the learned preferences while MGT algorithm can generate Pareto-optimal offers even with an approximation of the learned preferences.…”
Get full text
Get full text
Thesis -
18
-
19
Application of genetic algorithm methods to optimize flowshop sequencing problem
Published 2008“…Genetic algorithm method was one of the methods that were widely used in solving optimization problem. …”
Get full text
Get full text
Undergraduates Project Papers -
20