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Wyszukujesz frazę "neuro fuzzy models" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Multicriteria optimization of medical institutions’ schedules on the basis of neuro fuzzy models and evolutionary algorithms
Autorzy:
Tkachenko, R.
Kovalyshyn, O.
Powiązania:
https://bibliotekanauki.pl/articles/410857.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:
scheduling of medical institutions
optimization of schedules
evolutionary algorithms
multicriteria assessment
neuro fuzzy models
Opis:
Taking into account the expansion of infrastructure and the growth of hospitals, as well as the increase in the influx of patients, the manual preparation of therapies, in particular, regenerative therapy, becomes ineffective and causes frequent dissatisfaction and complaining of patients. Taking into account the large number of factors forming the schedule, the task of multicriteria optimization is presented in accordance with strict restrictions and immediate wishes of patients. This task can be decomposed into several subtasks that require development of: a reference schedule that would satisfy the strict restrictions imposed by the domain; a method for evaluating the reference schedule and intermediate schedules; the method of optimization of the reference scheduling in order to improve the estimated results. In the course of solving these problems it is necessary: to carry out the construction of relevant criteria for evaluating the quality of the decomposition and turn their qualitative values into quantitative forms; carry out the transition from multi-criteria optimization to one-criterion by minimizing the set of evaluation criteria in the scalar value that can be used in the process of optimization; to avoid local optimum and reach the global optimal solution. The article is devised a method of multicriteria assessment and optimization of medical institutions’ schedules, based on the use of automatic theory to construct the reference scheduling of the functioning of the clinic, the application of methods and means of fuzzy logic and evolutionary algorithms. Using an automated system of construction, multicriteria assessment and optimization of schedules of medical institutions can reduce the amount of manual work, as well as increase the level of satisfaction of patients with the quality of regenerative therapy.
Źródło:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2017, 6, 3; 53-59
2084-5715
Pojawia się w:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Emotional learning based intelligent speed and position control applied to neurofuzzy model of switched reluctance motor
Autorzy:
Rouhani, H.
Sadeghzadeh, A.
Lucas, C.
Araabi, B. N.
Powiązania:
https://bibliotekanauki.pl/articles/969753.pdf
Data publikacji:
2007
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
intelligent control
emotion based learning
neuro-fuzzy models
switched reluctance motor
Opis:
In this paper, rotor speed and position of a Switched Reluctance Motor (SRM) are controlled using an intelligent control algorithm. The controller is working based on a PID signal while its gain is permanently tuned by means of an Emotional Learning Algorithm to achieve a better control performance. Here, nonlinear characteristic of SRM is identified using an efficient training algorithm (LoLiMoT) for Locally Linear Neurofuzzy Model as an unspecified nonlinear plant model. Then, the Brain Emotional Learning Based Intelligent Controller (BELBIC) is applied to the obtained model. While the intelligent controller works based on a computational model of a limbic system in the mammalian brain, its contribution is to improve the performance of a classic controller like PID without much more control effort. The results demonstrate excellent improvements of control action in different working situations.
Źródło:
Control and Cybernetics; 2007, 36, 1; 75-95
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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