Results 241 to 250 of about 179,525 (295)

Fuzzy cluster analysis of high-field functional MRI data

Artificial Intelligence in Medicine, 2003
Functional magnetic resonance imaging (fMRI) based on blood-oxygen level dependent (BOLD) contrast today is an established brain research method and quickly gains acceptance for complementary clinical diagnosis. However, neither the basic mechanisms like coupling between neuronal activation and haemodynamic response are known exactly, nor can the ...
Windischberger, C   +6 more
exaly   +7 more sources

Analysis and design of fuzzy reduced-dimensional observer and fuzzy functional observer

Fuzzy Sets and Systems, 2001
The study concerns control problems with observers and a separation principle in Takagi-Sugeno (T-S) fuzzy models. The class of T-S models under consideration assumes the following form (both continuous and discrete-time versions of the model are considered) \[ \text{-if }s_1\text{ is } M_{1i}\text{ and\dots and }s_g\text{ is }M_{pi}\text{ then }dx/dt=
Ma, Xiao-Jun, Sun, Zeng-Qi
openaire   +4 more sources

Quantification in Functional Magnetic Resonance Imaging: Fuzzy Clustering vs. Correlation Analysis

Magnetic Resonance Imaging, 1998
The potential of functional MRI (fMRI) data analysis using the paradigm independent fuzzy cluster analysis (FCA) applied in the time domain compared to frequently used paradigm based correlation analysis (CA) was studied with simulated and in vivo fMRI data.
R, Baumgartner   +2 more
openaire   +4 more sources

Fuzzy functional analysis (I): Basic concepts

Fuzzy Sets and Systems, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Buckley, J. J., Yan, Aimin
openaire   +1 more source

Functional fuzzy clusterwise regression analysis

Advances in Data Analysis and Classification, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tan, Tianyu   +3 more
openaire   +1 more source

Fuzzy functions analysis

1977 IEEE Conference on Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications, 1977
System design consists of system analysis and system synthesis. In this paper, the fuzzy Web Grammar will be applied to both system analysis and synthesis so that a consistent, overall system design can be performed in a more rigorous manner. It is intended that a simulation will be run to apply the suggested approach to a real problem.
Akira Ishikawa   +2 more
openaire   +1 more source

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