
Optimizing learning
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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
2
2
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Short-term prediction of regional energy consumption by metaheuristic optimized deep learning models
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
6
2
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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
5
2
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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
117
17
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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
22
2
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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
42
2
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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
56
7
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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
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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
92
9
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