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Neuro-Fuzzy Data Envelopment Analysis
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Data Envelopment Analysis with R
data envelopment analysis (DEA), with a special emphasis on fuzzy DEA. It then describes DEA models, including fuzzy DEA models, and shows how;
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Data Envelopment Analysis with R
data envelopment analysis (DEA), with a special emphasis on fuzzy DEA. It then describes DEA models, including fuzzy DEA models, and shows how;
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Soft Computing with NeuroFuzzy Systems
This book covers different topics from soft computing and neuro-fuzzy systems, including intelligent neuro-fuzzy models, adaptive neuro;
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Soft Computing
Three discusses the intensive developing of Soft Computing systems especially Wavelet-Neuro-Fuzzy Systems (WNFS) in Dynamic Data Mining tasks;
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Fuzzy Logic-Based Modeling in Collaborative and Blended Learning
in order to analyze the learning process, gauge student feedback, and enable quality learning outcomes. Focusing on educational data analysis and;
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Deep Neuro-Fuzzy Systems with Python
of fuzzy logics and neural networks, the adaptive neuro fuzzy Inference systems, and various approximations related to the same. You'll review;
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Advances In Data Envelopment Analysis
Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with;
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Application of Soft Computing and Intelligent Methods in Geophysics
networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes;
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Fuzzy and Neuro-Fuzzy Systems in Medicine
Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains;
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Fuzzy and Neuro-Fuzzy Systems in Medicine
Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains;
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EMG Signals Characterization in Three States of Contraction by Fuzzy Network and
neuro-fuzzy system is trained with 70 percent of the recorded Electromyography (EMG) cut off window and then used for classification and;
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Applications of Management Science
improvement of patient flow. This volume will be valuable to those interested in multiple criteria applications, data envelopment analysis;
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Neuro-Fuzzy Equalizers for Mobile Cellular Channels
Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a;
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Neuro-Fuzzy Equalizers for Mobile Cellular Channels
Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a;
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Statistical Methods for Fuzzy Data
analysis of fuzzy data. In this book, the foundations of the description of fuzzy data are explained, including methods on how to obtain the;
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Data Science and Productivity Analytics
practically and theoretically important areas of 'productivity analysisdata envelopment analysis' and 'data science/big data'. Data science;
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14th International Conference on Theory and Application of Fuzzy Systems and Sof
include theory and application of soft computing, neuro-fuzzy technology, intelligent control, deep learning-machine learning, fuzzy logic in data;
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Applications of Management Science
of management science methodologies, data envelopment analysis and multi-criteria decision making. The first section is focused on data envelopment;
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Applied Soft Computing
, hybrid models, machine learning, meta heuristics, neuro fuzzy system, and optimization principles. The book acts as a reference book for AI;
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Neuro-Fuzzy-Methoden
die Grundlagen der Fuzzy Logic und der Neuronalen Netzwerke, aktuell eingesetzte Neuro-Fuzzy-Methoden sowie Anwendungen und Realisierungen in der Praxis.;
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Congress on Intelligent Systems
analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web;
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Congress on Intelligent Systems
analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web;
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Dynamic Fuzzy Machine Learning
Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field;
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