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Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature
This paper presents a review of the central theories involved in hybrid models based on
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
Recent advances in neuro-fuzzy system: A survey
Neuro-fuzzy systems have attracted the growing interest of researchers in various scientific
and engineering areas due to its effective learning and reasoning capabilities. The neuro …
and engineering areas due to its effective learning and reasoning capabilities. The neuro …
Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A survey
Major assumptions in computational intelligence and machine learning consist of the
availability of a historical dataset for model development, and that the resulting model will, to …
availability of a historical dataset for model development, and that the resulting model will, to …
Big data analytics and application for logistics and supply chain management
This special issue explores big data analytics and applications for logistics and supply chain
management by examining novel methods, practices, and opportunities. The articles present …
management by examining novel methods, practices, and opportunities. The articles present …
Intelligent trajectory tracking and formation control of underactuated autonomous underwater vehicles: A critical review
AUV play an important role in the exploration and utilization of the ocean. Underactuated
autonomous underwater vehicles (AUVs) are widely used in these missions due to the …
autonomous underwater vehicles (AUVs) are widely used in these missions due to the …
Text classification based on deep belief network and softmax regression
In this paper, we propose a novel hybrid text classification model based on deep belief
network and softmax regression. To solve the sparse high-dimensional matrix computation …
network and softmax regression. To solve the sparse high-dimensional matrix computation …
Face recognition with radial basis function (RBF) neural networks
A general and efficient design approach using a radial basis function (RBF) neural classifier
to cope with small training sets of high dimension, which is a problem frequently …
to cope with small training sets of high dimension, which is a problem frequently …
[کتاب][B] Evolving fuzzy systems-methodologies, advanced concepts and applications
E Lughofer - 2011 - Springer
In today's industrial systems, economic markets, life and health-care sciences fuzzy systems
play an important role in many application scenarios such as system identification, fault …
play an important role in many application scenarios such as system identification, fault …
Soft-sensing of effluent total phosphorus using adaptive recurrent fuzzy neural network with Gustafson-Kessel clustering
To address the issue of soft-sensing of effluent total phosphorus in wastewater treatment
processes (WWTPs), a soft-sensing system based on an adaptive recursive fuzzy neural …
processes (WWTPs), a soft-sensing system based on an adaptive recursive fuzzy neural …
Heuristic design of fuzzy inference systems: A review of three decades of research
This paper provides an in-depth review of the optimal design of type-1 and type-2 fuzzy
inference systems (FIS) using five well known computational frameworks: genetic-fuzzy …
inference systems (FIS) using five well known computational frameworks: genetic-fuzzy …