Artificial intelligence-based emission reduction strategy for limestone forced oxidation flue gas desulfurization system
The emissions from coal power plants have serious implication on the environment
protection, and there is an increasing effort around the globe to control these emissions by …
protection, and there is an increasing effort around the globe to control these emissions by …
Stability analysis of recurrent type-2 TSK fuzzy systems with nonlinear consequent part
A necessary condition for stability of a class of recurrent type-2 TSK fuzzy systems is
presented. In this system, the antecedent part is indeed represented by interval Gaussian …
presented. In this system, the antecedent part is indeed represented by interval Gaussian …
Coupling Taguchi experimental designs with deep adaptive learning enhanced AI process models for experimental cost savings in manufacturing process …
The Aluminum alloy AA7075 workpiece material is observed under dry finishing turning
operation. This work is an investigation reporting promising potential of deep adaptive …
operation. This work is an investigation reporting promising potential of deep adaptive …
Dynamic evolving neural fuzzy inference system equalization scheme in mode division multiplexer for optical fiber transmission
The performance of optical mode division multiplexer (MDM) is affected by inter-symbol
interference (ISI), which arises from higher-order mode coupling and modal dispersion in …
interference (ISI), which arises from higher-order mode coupling and modal dispersion in …
[PDF][PDF] Analysis of techniques for anfis rule-base minimization and accuracy maximization
Despite of acquiring popularity among researchers, the implementations of ANFIS-based
models face problems when the number of rules surge dramatically and increase the …
models face problems when the number of rules surge dramatically and increase the …
Adaptive intelligent inverse control of nonlinear systems with regard to sensor noise and parameter uncertainty (magnetic ball levitation system case study)
Type-2 Fuzzy Neural Networks have tremendous capability in identification and control of
nonlinear, time-varying and uncertain systems. In this paper the procedure of designing …
nonlinear, time-varying and uncertain systems. In this paper the procedure of designing …
Coupling Taguchi Experimental Designs with Deep Adaptive Learning Enhanced Artificial Intelligence Process Models: A Novel Case in Promising Experimental Cost …
SWH Zubair, SM Arafat, SA Khan, SG Niazi, M Rehan… - 2024 - researchsquare.com
The Aluminum alloy AA7075 workpiece material is observed under dry finishing turning
operation. This work is an investigation reporting promising potential of deep adaptive …
operation. This work is an investigation reporting promising potential of deep adaptive …
[引用][C] Channel Equalization using Neural Networks
S Kumar - 2018 - National Institute of Technology …