Automatikos terminų žodynas. – Vilnius: Technika. Vilius Antanas Geleževičius, Angelė Kaulakienė, Stanislovas Marcinkevičius. 2004.
Self-organized criticality — In physics, self organized criticality (SOC) is a property of (classes of) dynamical systems which have a critical point as an attractor. Their macroscopic behaviour thus displays the spatial and/or temporal scale invariance characteristic of the … Wikipedia
Memetic algorithm — Memetic algorithms (MA) represent one of the recent growing areas of research in evolutionary computation. The term MA is now widely used as a synergy of evolutionary or any population based approach with separate individual learning or local… … Wikipedia
Growing self-organizing map — A growing self organizing map (GSOM) is a growing variant of the popular self organizing map (SOM). The GSOM was developed to address the issue of identifying a suitable map size in the SOM. It starts with a minimal number of nodes (usually 4)… … Wikipedia
algorithme auto adaptatif — prisitaikantysis algoritmas statusas T sritis automatika atitikmenys: angl. self adapting algorithm vok. selbstadaptierender Algorithmus, m rus. самонастраивающийся алгоритм, m pranc. algorithme auto adaptatif, m … Automatikos terminų žodynas
prisitaikantysis algoritmas — statusas T sritis automatika atitikmenys: angl. self adapting algorithm vok. selbstadaptierender Algorithmus, m rus. самонастраивающийся алгоритм, m pranc. algorithme auto adaptatif, m … Automatikos terminų žodynas
selbstadaptierender Algorithmus — prisitaikantysis algoritmas statusas T sritis automatika atitikmenys: angl. self adapting algorithm vok. selbstadaptierender Algorithmus, m rus. самонастраивающийся алгоритм, m pranc. algorithme auto adaptatif, m … Automatikos terminų žodynas
самонастраивающийся алгоритм — prisitaikantysis algoritmas statusas T sritis automatika atitikmenys: angl. self adapting algorithm vok. selbstadaptierender Algorithmus, m rus. самонастраивающийся алгоритм, m pranc. algorithme auto adaptatif, m … Automatikos terminų žodynas
Differential evolution — In computer science, differential evolution (DE) is a method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. Such methods are commonly known as metaheuristics as they make… … Wikipedia
Monte Carlo Machine Learning Library (MCMLL) — The Monte Carlo Machine Learning Library (MCMLL) is an open source C++ template library which already relies on some C++0x specs. MCMLL is licensed under the GNU GPL. It is developed under the 64 bit Linux OS. MCMLL should be usable on other… … Wikipedia
Nonlinear dimensionality reduction — High dimensional data, meaning data that requires more than two or three dimensions to represent, can be difficult to interpret. One approach to simplification is to assume that the data of interest lies on an embedded non linear manifold within… … Wikipedia
