Optimizing learning

This article conducts an exhaustive investigation into the utilization of machine learning (ML) methods for forecasting the maximum load capacity (MLC) of circular reinforced concrete columns (CRCC) using Fiber-Reinforced Polymer (FRP). Extreme Gradient Boosting (XGB) algorithm is combined with novel metaheuristic algorithms, namely Sailfish Optimizer and Aquila Optimizer, to fine-tune its hyperparameters.

18p viengfa 28-10-2024 2 2   Download

Predicting the macroscopic permeability of porous media is critical in various scientific and engineering applications. This study proposes a novel model that combines Random Forest (RF) and rime-ice (RIME) optimization algorithm, denoted RIME-RF-RIME, to predict permeability based on six key features covering fluid phase dimensions, geometric characteristics, surrounding phase permeability, and media porosity.

14p viengfa 28-10-2024 2 2   Download

Adaptive Neuro-Based Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) algorithms were utilized to produce numerical tools for predicting the bond strength between the concrete surface and carbon fiber reinforced polymer (CFRP) sheets.

11p viengfa 28-10-2024 3 2   Download

This study delves into the potential of digital math games on mobile devices to enhance the learning experience of primary school children, aiming to instill a sense of hope and optimism in Vietnamese parents. In light of the increasing prevalence of digital games and concerns about screen time and game addiction, the research examines these educational tools' perceived benefits and drawbacks.

14p viling 11-10-2024 3 1   Download

Currently, the field of science and technology, particularly Artificial Intelligence (AI), is undergoing significant progress. AI involves the computer-based simulation of human cognitive functions. Within the realm of AI, machine learning, a specialized branch, utilizes mathematical algorithms to enhance computational capabilities.

10p viyamanaka 06-02-2025 4 2   Download

Modern civilization is heavily dependent on energy, which burdens the energy sector. Therefore, a highly accurate energy consumption forecast is essential to provide valuable information for efficient energy distribution and storage. This study proposed a hybrid deep learning model, called I-CNN-JS, by incorporating a jellyfish search (JS) algorithm into an ImageNetwinning convolutional neural network (I-CNN) to predict weekahead energy consumption.

6p vibenya 31-12-2024 7 2   Download

This review explores recent ML advancements in assessing corrosion in RC structures. Various algorithms, such as Artificial Neural Networks (ANNs), Gene Expression Programming (GEP), Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM) and Ensemble Learning, have shown potential in estimating corrosion processes, predicting material properties, and evaluating structural durability.

7p vibenya 31-12-2024 6 2   Download

Understand the linguistic systems Grasp basic principles of language learning & teaching Have fluent competence in speaking, writing, listening & reading Understand the close relationship b/w language & culture.apply well-informed approach to teaching use wide variety of techniques design & execute lesson plans use effective, clear presentation skills give optimal feedback to Ss …

0p namson94 20-07-2012 120 17   Download

In this paper, we propose a mechanism to optimize range of EV by integrating some of the best methods to estimate rotor position, efficient temperature control modules and machine learning algorithms that analyze the vehicle’s environment and driving pattern.

10p lucastanguyen 01-06-2020 23 2   Download

Learning objectives: Understand the central role played by end-users and their demands in the design of marketing channels, define “service outputs” and identify and analyze them, recognize how to divide a market into channel segments for the purposes of marketing channel design or modification, understand how to target channel segments to optimize sales and profits.... and other contents.

6p tieu_vu08 05-05-2018 43 2   Download

MANAGING SIMULATION BASED TRAINING A FRAMEWORK FOR OPTIMIZING LEARNING, COST, AND TIME Second, one can estimate the model on a sample that includes private school students. If the sample selection bias is in the hypothesized direction, either strategy should produce a smaller (more negative) estimate of the effect of interdistrict competition.

139p mualan_mualan 25-02-2013 57 7   Download

Web search engine: Markov chain theory Data Mining, Machine Learning: Data mining, Machine learning: Stochastic gradient, Markov chain Monte Carlo, Image processing: Markov random fields, Design of wireless communication systems: random matrix theory, Optimization of engineering processes: simulated annealing, genetic algorithms, Finance (option pricing, volatility models): Monte Carlo, dynamic models, Design of atomic bomb (Los Alamos): Markov chain Monte Carlo.

16p quangchien2205 30-03-2011 89 7   Download

Convergence of Online Learning Algorithms in Neural Networks An analysis of convergence of real-time algorithms for online learning in recurrent neural networks is presented. For convenience, the analysis is focused on the real-time recurrent learning (RTRL) algorithm for a recurrent perceptron. Using the assumption of contractivity of the activation function of a neuron and relaxing the rigid assumptions of the fixed optimal weights of the system, the analysis presented is general and is applicable to a wide range of existing algorithms....

9p doroxon 12-08-2010 94 9   Download