Yazar
Shafer, Glenn, 1946-
Abstract with links to resource http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267502
Format:
Electronic Resources
Alıntı:
Prediction (Logic)
Yazar
Castillo, Oscar. editor.
Format:
Electronic Resources
Alıntı:
Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics Theory and Applications /
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Yazar
Patnaik, Srikanta. editor.
Format:
Electronic Resources
Alıntı:
techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks
Yazar
Panda, Brajendra. editor. (orcid)0000-0003-1117-9328
Format:
Electronic Resources
Alıntı:
expression, cancer classification, protein function prediction, etc., could potentially be solved using
Yazar
Mohamed, Azlinah. editor.
Format:
Electronic Resources
Alıntı:
; fuzzy logic; prediction models and e-learning; text and sentiment analytics.
Yazar
Sgurev, Vassil. editor.
Format:
Electronic Resources
Alıntı:
-- Logical Operations and Inference in the Complex S-logic -- Generalized Nets as Tools for Modelling of Data
Yazar
Pancerz, Krzysztof. editor.
Format:
Electronic Resources
Alıntı:
, classification of ultrasound thyroid images, application of fuzzy logic to measure weight status and central
Yazar
Kaufmann, Michael. author.
Format:
Electronic Resources
Alıntı:
Mathematical Logic and Formal Languages.
Yazar
Angeline, Peter J., editor.
Abstract with links to resource http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267488
Format:
Electronic Resources
Alıntı:
sensing of pressure ridges in Arctic sea ice formations from satellite imagery, economic prediction
Yazar
Melin, Patricia. editor.
Format:
Electronic Resources
Alıntı:
recognition, time series prediction, and optimization of complex problems. The book is divided into seven main
Yazar
Nedjah, Nadia. editor.
Format:
Electronic Resources
Alıntı:
Using a Multi-Objective Approach with Application to Class Prediction -- Diversification Strategies in
Yazar
Gaxiola, Fernando. author.
Format:
Electronic Resources
Alıntı:
fuzzy logic of type-1 and type-2. The proposed approach is applied to a cases of prediction for the
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