Adaptive Neuro-Fuzzy Inference System as a Universal EstimatorConstantin Voloşencu This book presents some recent specialized works of a theoretical study in the domain of adaptive neuro-fuzzy inference systems (ANFIS) for specialists, engineers, professors, and students. It includes five chapters that present new fuzzy systems concepts and promotes them for practical applications, including control of tillage depth, solar radiation prediction, control of power systems, and dynamics of macroeconomic systems. The studies published in the book, through scientific achievements of high-level analysis and design, develop new applications that demonstrate the capabilities of ANFIS. The authors present examples and case studies from their research, providing new solutions and answers to questions related to the emerging concepts and applications of ANFIS. |
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accuracy adaptive neuro Adaptive Neuro-Fuzzy Inference algorithm ANFIS model ANFIS-based ANFIS-ENS ANFIS-GP ANFIS-SC artificial neural networks chisel plough coefficient computing Conventional PSS ANFIS correlation dataset defuzzification draft load dynamics economic electrical Engineering enhance evaluation exchange rate Exchange_Rate forecasting fuzzy inference system fuzzy logic fuzzy sets Gaussian GDP growth global solar radiation grid hybrid hydraulic IEEE implement Inference System ANFIS input variables IntechOpen interest rates layer machine learning mathematical finance mean squared error membership functions membership values method metrics Moldboard plough neuro-fuzzy controller Neuro-Fuzzy Inference System Nigeria node nonlinear optimization output parameters peak overshoot performance PID controller power system stabilizer PSS and ANFIS PSS ANFIS PSS PSS Conventional PSS rad/s renewable energy RMSE rotor angle rotor speed deviation sensor signal Simulink solar radiation solar radiation prediction SolidWorks Table techniques temperature three-point hitch tractor training data training error valve Ув