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Wyszukujesz frazę "fractal theory" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
The mind and brain in time: implications for modern neuropsychology
Autorzy:
Brown, Jason W
Powiązania:
https://bibliotekanauki.pl/articles/2137697.pdf
Data publikacji:
2018-03-28
Wydawca:
Fundacja Edukacji Medycznej, Promocji Zdrowia, Sztuki i Kultury Ars Medica
Tematy:
organism
fractal theory
human mentality
Opis:
In this paper, I wish to describe the categorical nature of the mind/brain state from its origins in drive to the refinements of human cognition. Categories are concepts with a broader scope. The virtual quality of category members corresponds to the relation of whole and part. A successive individuation of categories is the foundational operation of the mind/brain state. There is a similarity to fractal theory and the mereology of wholes and parts, though categories are not sums or containers, members are virtual and the whole/part specification is qualitative, unlike the self-similar replications of fractal theory. The discussion takes up the problem of causal transmission between the mind and brain and within and across mental states, concluding that an assimilation model has more explanatory power than a strictly causal one, in keeping with the distinction of potential/actual from cause/effect. The idea that mind-brain interaction is causal introduces the possibility of subjectivity independent of a material substrate. This leads to speculation on a world soul animating the brain as part of nature, and conversely, the effort to extract all vestiges of spirit to leave a purely material organism and universe. There is no bifurcation of the mental and physical; rather a graded series of stages with properties of material and subjective entities that eventuate in human mentality. This conforms to a neutral monism. Duration is inherent in nature and evolves in company with organisms of increasing complexity.
Źródło:
Acta Neuropsychologica; 2018, 16(1); 99-116
1730-7503
2084-4298
Pojawia się w:
Acta Neuropsychologica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Soft Computing and Fractal Theory for Intelligent Manufacturing
Autorzy:
Castillo, O.
Melin, P.
Powiązania:
https://bibliotekanauki.pl/articles/384470.pdf
Data publikacji:
2007
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
fuzzy logic
fractal theory
neural network
Opis:
We describe in this paper the combination of soft computing techniques and fractal theory for achieving intelligent manufacturing. Soft computing techniques can be used to develop hybrid intelligent systems. Fractal theory can be used to analyze the geometrical complexity of natural and artificial objects. The careful combination of soft computing and fractal theory can provide us with a good mix of intelligent techniques and fractal mathematical tools, which can help in achieving automation of manufacturing processes. We consider in this paper several manufacturing and automation problems that are efficiently solved with the proposed approach.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2007, 1, 1; 41-47
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of Square-shaped Bolted Joints Based on Improved Particle Swarm Optimization Algorithm
Autorzy:
Chen, Kui
Yang, Cheng
Zhao, Yongsheng
Niu, Peng
Niu, NaNa
Hongchao, Wu
Powiązania:
https://bibliotekanauki.pl/articles/27312779.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
particle swarm optimization algorithm
bolt connection
bolted joint
fractal theory
Opis:
The bolted joint is widely used in heavy-duty CNC machine tools, which has huge influence on working precision and overall stiffness of CNC machine. The process parameters of group bolt assembly directly affect the stiffness of the connected parts. The dynamic model of bolted joints is established based on the fractal theory, and the overall stiffness of joint surface is calculated. In order to improve the total stiffness of bolted assembly, an improved particle swarm optimization algorithm with combination of time-varying weights and contraction factor is proposed. The input parameters are preloading of bolts, fractal dimension, roughness, and object thickness. The main goal is to maximize the global rigidity. The optimization results show that improved algorithm has better convergence, faster calculation speed, preferable results, and higher optimization performance than standard particle swarm optimization algorithm. Moreover, the global rigidity optimization is achieved.
Źródło:
Eksploatacja i Niezawodność; 2023, 25, 3; art. no. 168487
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of CEC using fractal parameters by artificial neural networks
Autorzy:
Bayat, H.
Davatgar, N.
Jalali, M.
Powiązania:
https://bibliotekanauki.pl/articles/25675.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:
cation exchange capacity
prediction
fractal structure
fractal theory
particle size distribution
artificial neural network
pedotransfer function
Opis:
The prediction of cation exchange capacity from readily available soil properties remains a challenge. In this study, firstly, we extended the entire particle size distribution curve from limited soil texture data and, at the second step, calculated the fractal parameters from the particle size distribution curve. Three pedotransfer functions were developed based on soil properties, parameters of particle size distribution curve model and fractal parameters of particle size distribution curve fractal model using the artificial neural networks technique. 1 662 soil samples were collected and separated into eight groups. Particle size distribution curve model parameters were estimated from limited soil texture data by the Skaggs method and fractal parameters were calculated by Bird model. Using particle size distribution curve model parameters and fractal parameters in the pedotransfer functions resulted in improvements of cation exchange capacity predictions. The pedotransfer functions that used fractal parameters as predictors performed better than the those which used particle size distribution curve model parameters. This can be related to the non-linear relationship between cation exchange capacity and fractal parameters. Partitioning the soil samples significantly increased the accuracy and reliability of the pedotransfer functions. Substantial improvement was achieved by utilising fractal parameters in the clusters.
Źródło:
International Agrophysics; 2014, 28, 2
0236-8722
Pojawia się w:
International Agrophysics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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