نتایج جستجو برای: stratified lmn
تعداد نتایج: 45166 فیلتر نتایج به سال:
In the present study, we explore the analyses of coping strategy for IT digital divide on the elementary campus. The questionnaire was distributed by stratified random sampling. The cases included 39 schools and 150 teachers. The study adopted the questionnaire of “SWOT Strategic Analysis for Digital Divide” to investigate the digital learning environment on campus and to understand teachers’ o...
Modern visual arts education enables student’s permanent creative expression, while art appreciation plays an equally important role. This article presents the results of a study that monitored the level of art appreciation abilities of 10-year-old primary school students from north-eastern Slovenia utilizing a sample of 1,429 students (n=1,429). The study explored whether there are differences...
Deterministic weighted tree automata (dwta) have found promising applications as language models in Natural Language Processing. It is known that dwta over commutative semifields can be effectively minimized. An efficient algorithm for minimizing them is presented. It is polynomial-time given that all operations of the semifield including the computation of the inverses are polynomial. More pre...
In this paper, the concepts of derived sets and derived operators are generalized to $(L, M)$-fuzzy topological spaces and their characterizations are given.What is more, it is shown that the category of stratified $(L, M)$-fuzzy topological spaces,the category of stratified $(L, M)$-fuzzy closure spaces and the category of stratified $(L, M)$-fuzzy quasi-neighborhood spaces are all isomorphic ...
The paper deals with the problem of modelling and control using the Local Model Network (LMN). The idea is based on development of multiple local models for the whole operating range of the controlled process. The local models are then smoothly connected using the validity or weighting functions to provide a nonlinear global model of the plant. For saving the computational load, linear model is...
The widely-used LMS algorithm for coefficient updates in adaptive (feedforward/decision-feedback) equalizers is found to be suboptimal for ASE-dominant systems but various coefficient-dithering approaches suffer from slow adaptation rate without guarantee of convergence. In view of the non-Gaussian nature of optical noise after the square-law optoelectronic conversion, we propose to apply the h...
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