نتایج جستجو برای: input variables

تعداد نتایج: 521499  

2015
Marek Kubalcik Vladimir Bobal

The paper is focused on an implementation of a predictive controller with a colouring filter C in a disturbance model. The filter is often essential for practical applications of predictive control based on transfer function models. It is commonly considered as a design parameter because it has direct effects on closed loop performance. In this paper a computation of predictions for the case wi...

2000
Michal Skubacz Jaakko Hollmén

Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Often, the discretization is based on the distribution of the input variables only whereas additional information, for example in form of class membership is frequently present and could be used to improve the quality o...

Journal: :The British journal of nutrition 2013
Pierre Traissac Yves Martin-Prével

We would like to congratulate Smith et al. for their recent paper on the relevant issue of input variable quantification when deriving dietary patterns by principal component analysis (PCA). Indeed, previous studies have compared different methods of deriving empirical patterns such as clusterv. factor-based analysis, while some authors have compared exploratory factor methods, such as PCA, wit...

Journal: :Journal of experimental psychology. Human perception and performance 2017
Hannah C Wyland Shaun P Vecera

When searching for a target object in a cluttered scene, the currently attended object is typically matched against a target template, a memory representation of the object being actively searched for. To determine if the currently attended item is the target requires a high degree of similarity to the template; any imprecision would make it difficult to distinguish between targets and visually...

1996
Brian V. Bonnlander Andreas S. Weigend

In learning problems where a connectionist network is trained with a nite sized training set, better generalization performance is often obtained when unneeded weights in the network are eliminated. One source of unneeded weights comes from the inclusion of input variables that provide little information about the output variables. We propose a method for identifying and eliminating these input...

Journal: :EAI endorsed transactions on context-aware systems and applications 2022

This paper studies on feedback graph model of linguistic variables which is generated from Hedge algebra.We also introduce a visual graphic for input - output cognitive maps.

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