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Tuning parameters
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Part 2 of ebook "Introduction to evolutionary computing (Second edition)" provides readers with contents including: Chapter 7 - Parameters and parameter tuning; Chapter 8 - Parameter control; Chapter 9 - Working with evolutionary algorithms; Chapter 10 - Hybridisation with other techniques, memetic algorithms; Chapter 11 - Nonstationary and noisy function optimisation; Chapter 12 - Multiobjective evolutionary algorithms; Chapter 13 - Constraint handling;...
164p
daonhiennhien
03-07-2024
1
1
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Ebook "Smart wormlike micelles: Design, characteristics and applications" provides an up-to-date overview of smart surfactants and describes a broad spectrum of triggers that induce the formation of wormlike micelles or reversibly tune the morphology of surfactant aggregates from wormlike micelles to another state, or vice versa.
103p
tracanhphuonghoa1007
22-04-2024
6
3
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Part 1 book "MATLAB for engineers – Applications in control, electrical engineering, it and robotics" includes content: Implementation of a new quasi optimal controller tuning algorithm for time delay systems; control of distributed parameter systems; engineering methods and software support in the MATLAB and simulink programming environment; numerical inverse laplace transforms for electrical engineering simulation,... and other contents.
229p
dianmotminh00
22-04-2024
5
5
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This paper proposes a novel intelligent control algorithm in dealing with the load-frequency control problem of a two-area interconnected thermal power system. This control methodology applying a modified PID controller with three parameters tuned by a reasonable fuzzy logic inference structure.
10p
vijeff
30-11-2023
5
3
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This paper presents the method of determining the feature parameters and then using the Convolution Neural Network (CNN), Long-Short Term Memory networks (LSTM), and Convolutional Recurrent Neural Network (CRNN) to classify and identify some Vietnamese folk tunes as Quanho and Cheo.sing deep neural networks
21p
vimulcahy
18-09-2023
7
3
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In this paper, an artificial neural network (ANN) model was applied to forecast PM2.5 at the Coc Sau open–pit coal mine (Northern Vietnam) with fine–tuning parameters. It aims to provide the feasibility and insights into controlling air quality in open–pit mines using artificial intelligence techniques.
8p
viironman
02-06-2023
8
3
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The control of the properties and biological activities of chitosan-lysozyme hybrid hydrogels to exploit their interesting biomedical applications depends largely on the chitosan acetylation pattern, a difficult parameter to control. Herein, we have prepared sulfated chitosan-lysozyme hydrogels as versatile platforms with fine-tuned degradability and persistent bactericidal and antioxidant properties.
14p
viginny
30-12-2022
7
2
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Comprehensive two-dimensional liquid chromatography (LC×LC), is a powerful, emerging separation technique in analytical chemistry. However, as many instrumental parameters need to be tuned, the technique is troubled by lengthy method development. To speed up this process, we applied a Bayesian optimization algorithm.
11p
viginny
23-12-2022
8
3
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A motion cueing algorithm (MCA) not only maintains the simulator within its physical limits but also generates such movements of the driving simulator that the necessary motion cues of drivers on the realistic vehicle are equivalently reproduced. The offline optimal MCA focuses on finding the best combination of the translational acceleration and tilt angles of the motion platform to maintain drivers’ motion perception.
8p
vimelindagates
18-07-2022
4
2
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Polygenic risk scores (PRSs) have wide applications in human genetics research, but often include tuning parameters which are difficult to optimize in practice due to limited access to individual-level data. Here, we introduce PUMAS, a novel method to fine-tune PRS models using summary statistics from genome-wide association studies (GWASs).
19p
viarchimedes
26-01-2022
18
0
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Many computational methods have been developed recently to analyze single-cell RNA-seq (scRNA-seq) data. Several benchmark studies have compared these methods on their ability for dimensionality reduction, clustering, or differential analysis, often relying on default parameters.
17p
viarchimedes
26-01-2022
6
0
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Deconvolution analyses have been widely used to track compositional alterations of cell types in gene expression data. Although a large number of novel methods have been developed, due to a lack of understanding of the effects of modeling assumptions and tuning parameters, it is challenging for researchers to select an optimal deconvolution method suitable for the targeted biological conditions.
23p
viarchimedes
26-01-2022
6
0
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The model uses the knowledge in the knowledge base to solve the current NER task. Preprocessing and model parameter tuning are also investigated to improve the performance. The e®ect of the model was demonstrated by in-domain and crossdomain experiments, achieving promising results.
17p
redemption
20-12-2021
14
1
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In this paper, a hyper-heuristic approach was presented for tuning the hyper parameters of recursive and partition trees (Rpart), which is a typical implementation of CART in statistical and data analytics package R. The study employed an evolutionary algorithm as hyper-heuristic for tuning the hyper parameters of the decision tree classifier.
28p
spiritedaway36
28-11-2021
9
2
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This paper proposes a data-driven parameter tuning of the internal model controllers (IMC) in cascade architecture with minimum phase processes. In order to perform the parameter tuning of the IMC, we utilize the fictitious reference iterative tuning (FRIT), which enables us to obtain the desired parameter of the controllers with only one-shot experiment data.
12p
vilarrypage
19-11-2021
22
3
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Fast matching is a crucial task in many computer vision applications due to its computationally intensive overhead, especially for high feature spaces. Promising techniques to address this problem have been investigated in the literature such as product quantization, hierarchical clustering decomposition, etc.
7p
viaespa2711
31-07-2021
5
1
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This paper studies to determine the optimal parameter of the tuned mass damper to reduce the torsional vibration for the rotating shaft with variable angular velocity by using the maximization of equivalent viscous resistance method.
4p
kequaidan11
13-04-2021
17
1
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This paper gives a literature review of choosing tuning parameters for ridge regression and lasso. These regularized regressions introduce a little bias in return for a considerable decrease in the variance of the predicted values, thus increasing prediction accuracy. This paper can use AIC or BIC to select the tuning parameter for linear predictive models.
16p
angicungduoc9
04-01-2021
6
2
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In this paper, we describe the application of CRO algorithm to search optimal parameters for PID controller because CRO combines both features of local and global searching techniques to increase the chance of finding global solution. The comparison of tuning PID controller by CRO and traditional Ziegler-Nichols method is also presented. The simulated results show the advantages of tuning PID using CRO compared to traditional methods in terms of performance indices and transient responses.
12p
tamynhan9
02-12-2020
11
1
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Quality control is a necessary step of any Next Generation Sequencing analysis. Although customary, this step still requires manual interventions to empirically choose tuning parameters according to various quality statistics.
8p
vikentucky2711
24-11-2020
13
2
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