Autor: Troc, M. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Wiek utworów formacji poznańskiej rejonu Poznania
The age of Poznań Formation in the area of Poznań
Autorzy:: Troć, M.
Sadowska, A.
Powiązania:: https://bibliotekanauki.pl/articles/2074446.pdf
Data publikacji:: 2006
Wydawca:: Państwowy Instytut Geologiczny – Państwowy Instytut Badawczy
Tematy:: neogen
analiza pyłkowa
litologia
Poznań
Poznań Formation
Neogene
lithology
pollen analysis
Opis:: Near Poznań, along Warta river valley; erosion process resulted in , the deposits of so called Poznań Formation forming outcrops or are coverd with a relatively thin Quaternary overburden. During routine geological and geotechnical soil testing, in years 1990–2004 carried out in downtownPoznań, in a number of locations organic soils were found in the top part of the poznań clay series. Samples of the organic soil were taken for further testing. One profile (no 8) and samples from other bore holes were palynologically elaborated. Spectra are characterized by the predominance taxa of riparian forest: Alnus, Ulmus, Celtis. Pterocarya. More arid areas were occupied by mesophylous mixed forest with Betula, Fagus, Quercus, Carpinus and shares of conifers, mainly Pinus. The role of swamp-forest with Taxodiaceae-Cupressaceae, Nyssa, Liquidambar, Myrica, typical for Miocene, is not important. Amount of herbaceous plants (except ferns) is low. The pollen of the plants of the temperate climate prevail, whereas thermofilous element is scarce. Age of these deposits was determined as the uppermost Miocene or Mio-Pliocene.
Źródło:: Przegląd Geologiczny; 2006, 54, 7; 588-593
0033-2151
Pojawia się w:: Przegląd Geologiczny
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 2.

Tytuł:: Self-adaptation of parameters in a learning classifier system ensemble machine
Autorzy:: Troć, M.
Unold, O.
Powiązania:: https://bibliotekanauki.pl/articles/907767.pdf
Data publikacji:: 2010
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: komputerowe uczenie się
system klasyfikujący
sterowanie adaptacyjne
sterowanie parametryczne
machine learning
extended classifier system
self-adaptation
adaptive parameter control
Opis:: Self-adaptation is a key feature of evolutionary algorithms (EAs). Although EAs have been used successfully to solve a wide variety of problems, the performance of this technique depends heavily on the selection of the EA parameters. Moreover, the process of setting such parameters is considered a time-consuming task. Several research works have tried to deal with this problem; however, the construction of algorithms letting the parameters adapt themselves to the problem is a critical and open problem of EAs. This work proposes a novel ensemble machine learning method that is able to learn rules, solve problems in a parallel way and adapt parameters used by its components. A self-adaptive ensemble machine consists of simultaneously working extended classifier systems (XCSs). The proposed ensemble machine may be treated as a meta classifier system. A new self-adaptive XCS-based ensemble machine was compared with two other XCS-based ensembles in relation to one-step binary problems: Multiplexer, One Counts, Hidden Parity, and randomly generated Boolean functions, in a noisy version as well. Results of the experiments have shown the ability of the model to adapt the mutation rate and the tournament size. The results are analyzed in detail.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2010, 20, 1; 157-174
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Informacja

Wyszukujesz frazę "Troc, M." wg kryterium: Autor

Źródło danych

Dostawca treści

Kolekcja

Rok wydania

Wydawca

Temat

Autor

Typ dokumentu

Język