Exact(3)
The simulation results show the Neuro-fuzzy techniques have been more successful than conventional control because they combine the learning capabilities of neural network with the transparent Knowledge representation of fuzzy controller.
The relatively recent paradigm of granular computing (GrC) offers an ideal opportunity for a transparent knowledge discovery methodology to be combined with fuzzy logic thereby towards a systematic modelling framework with a focus on the overall transparency of the system.
The first is to develop a shared and transparent knowledge base that draws on environmental health research and substantiates decisions about what to track and the interpretation of results.
Similar(57)
Networks are global, borders ever more transparent, and knowledge is free or cheap.
The system combines the adaptive learning diagnostic procedure of the ANN and the transparent deep knowledge representation of the KBES.
More focus is given to knowledge-based systems, which have apparent advantages over the others in allowing more transparent transfers of knowledge in the use of models and in furnishing the intelligent manipulation of calibration parameters.
From the user's viewpoint the SOHN approach results in a very transparent tool for knowledge discovery and prediction purposes.
The European Union has committed itself to strategic initiatives promoting open and transparent flow of knowledge and innovative processes.
On the other hand, fuzzy logic has gained increasing importance in data analytics, since it can enable to build a transparent and interpretable knowledge base.
Efficient virtual product creation combined with predictive engineering requires high-capacity computing and communication technologies as well as fast and transparent supply of knowledge, information and data.
Since real-time signal level monitoring at the relay node is impractical in transparent relaying, statistical knowledge of the end-to-end channel is critical for an energy-efficient system design.
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