
Reinforcement learning
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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
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This study delves into the application of machine learning (ML), specifically a Gradient Boosting (GB) model, for predicting the punching shear strength (PSS) of two-way reinforced concrete flat slabs.
16p
viengfa
28-10-2024
3
2
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In this study, we propose a machine learning technique for estimating the shear strength of CRC beams across a range of service periods. To do this, we gathered 158 CRC beam shear tests and used Artificial Neural Network (ANN) to create a forecast model for the considered output.
12p
viengfa
28-10-2024
3
2
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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
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I decided on the topic "Inspire and reinforce knowledge learned English in Niger by Grade 3 by short songs" and please note that these are my little experience, it can not new but I've done and have some relative results. We hope that these experiences contribute to complement and enrich the teaching method of his colleagues.
23p
thuypham46
26-09-2017
47
7
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In this thesis, focus on the wireless links between devices equipped by deployed operating personnel and intermediary access point infrastructure. We use multi-radio (MR) platforms, wireless devices with multiple and diverse transceiver technologies, to produce robust and reliable links through adaptive control of available transceivers. Primarily, we study the application of intelligent control techniques, namely reinforcement learning (RL), for adaptive control over diverse transceivers to achieve the desired robustness and reliability under dynamic environmental conditions.
185p
runthenight04
02-02-2023
11
2
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Luận văn "Điều khiển tắc nghẽn mạng internet bằng deep reinforcement learning" được chia làm các phần sau: Chương 1 sẽ nói khái quát về cấu trúc mạng internet; điều khiển tắc nghẽn và các các cơ chế điều khiển tắc nghẽn; học tăng cường và học tăng cường sâu; Chương 2 sẽ giới thiệu các nghiên cứu liên quan về 2 hướng tiếp cận rule-based và ML-based. Chương 3 sẽ đề xuất giải pháp và đánh giá hiệu năng.
53p
matroinho2510
08-11-2022
25
7
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Over several years, we have developed an approach to spoken dialogue systems that includes rule-based and trainable dialogue managers, spoken language understanding and generation modules, and a comprehensive dialogue system architecture. We present a Reinforcement Learning-based dialogue system that goes beyond standard rule-based models and computes on-line decisions of the best dialogue moves. The key concept of this work is that we bridge the gap between manually written dialog models (e.g.
4p
hongphan_1
15-04-2013
78
4
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Testing & Teaching: closely related Tests: - devices to reinforce learning & motivate Ss - means of assessing Ss’ lang. performance Tests focusing on daily communication useful effects on learning Good communicative tests+ effects: learning, teaching & learning habits
10p
nhatro75
23-07-2012
97
7
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.Natural language acquisition listening speaking reading writing .Why teach reading and writing? Many children show interest and enthusiasm in reading and writinhelp to reinforce oral.Many children show interest and enthusiasm in reading and writing help to reinforce oral language give children real sense of achievement provide visual language open up opportunities for record keeping help link school learning with use of English outside class.
14p
nhatro75
23-07-2012
178
44
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Hardware Architecture of Reinforcement Learning Scheme for Dynamic Power Management in Embedded Systems
6p
sting10
07-03-2012
37
5
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