Self-adaptation and Evolution by Learning

2010 ◽  
pp. 30-31
Author(s):  
Richard Johansson
Keyword(s):  
Self Adaptation

scholarly journals Analyzing Latency-Aware Self-Adaptation Using Stochastic Games and Simulations

2016 ◽  
Vol 10 (4) ◽  
pp. 1-28 ◽  
Author(s):  
Javier Cámara ◽  
Gabriel A. Moreno ◽  
David Garlan ◽  
Bradley Schmerl
Keyword(s):  
Stochastic Games ◽  
Self Adaptation ◽  
Games And Simulations

Towards On-the-fly Self-Adaptation of Stream Parallel Patterns

2021 ◽  
Author(s):  
Adriano Vogel ◽  
Gabriele Mencagli ◽  
Dalvan Griebler ◽  
Marco Danelutto ◽  
Luiz Gustavo Fernandes
Keyword(s):  
Parallel Patterns ◽  
Self Adaptation

scholarly journals Special Finite Elements with Adaptive Strain Field on the Example of One-Dimensional Elements

2021 ◽  
Vol 11 (2) ◽  
pp. 609
Author(s):  
Tadeusz Chyży ◽  
Monika Mackiewicz
Keyword(s):  
Finite Elements ◽  
Strain Field ◽  
Main Idea ◽  
Deformation Field ◽  
Geometrical Parameters ◽  
Single Element ◽  
One Dimensional ◽  
New Type ◽  
Self Adaptation ◽  
Adaptation Method

The conception of special finite elements called multi-area elements for the analysis of structures with different stiffness areas has been presented in the paper. A new type of finite element has been determined in order to perform analyses and calculations of heterogeneous, multi-coherent, and layered structures using fewer finite elements and it provides proper accuracy of the results. The main advantage of the presented special multi-area elements is the possibility that areas of the structure with different stiffness and geometrical parameters can be described by single element integrated in subdivisions (sub-areas). The formulation of such elements has been presented with the example of one-dimensional elements. The main idea of developed elements is the assumption that the deformation field inside the element is dependent on its geometry and stiffness distribution. The deformation field can be changed and adjusted during the calculation process that is why such elements can be treated as self-adaptive. The application of the self-adaptation method on strain field should simplify the analysis of complex non-linear problems and increase their accuracy. In order to confirm the correctness of the established assumptions, comparative analyses have been carried out and potential areas of application have been indicated.

Machine Vision Window Division on Self-Adaptation

2011 ◽  
Vol 460-461 ◽  
pp. 617-620
Author(s):  
Xiu Chen Wang
Keyword(s):  
Image Analysis ◽  
Machine Vision ◽  
Defect Detection ◽  
Actual Situation ◽  
Adaptive Window ◽  
Fabric Defect Detection ◽  
Fabric Defect ◽  
Self Adaptation ◽  
Recognition Efficiency ◽  
Division Model

Aiming at time-consuming and ineffective problem of image window division in fabric defect detection, this paper proposes a new adaptive division method after a large number of experiments. This method can quickly and exactly recognize defect feature. Firstly, a division model on adaptive window is established, secondly, the formula to anticipate generally situation of fabric image is given according to the peaks and valleys change in the model, and methods to calculate the division size and position of adaptive window are given. Finally, we conclude that the algorithm in this paper can quickly and simply select the size and position of window division according to actual situation of different fabric images, and the time of image analysis is shortened and the recognition efficiency is improved.

Marginal Representation Learning With Graph Structure Self-Adaptation

2018 ◽  
Vol 29 (10) ◽  
pp. 4645-4659 ◽  
Author(s):  
Zheng Zhang ◽  
Ling Shao ◽  
Yong Xu ◽  
Li Liu ◽  
Jian Yang
Keyword(s):  
Representation Learning ◽  
Graph Structure ◽  
Self Adaptation

A nonlinear neutralizer with self-adaptation capability

2021 ◽  
Author(s):  
Liuding Yu ◽  
Chunbo Lan ◽  
Guobiao Hu ◽  
Lihua Tang ◽  
Tiejun Yang
Keyword(s):  
Self Adaptation
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