This paper describes the application of multiple adaptive neuro-fuzzy inference system (MANFIS) model which has hybrid learning algorithm for classification of ...
Abstract. Neuro-fuzzy system is a combination of neural network and fuzzy system in such a way that neural network learning algorithms, is used to determine.
This paper describes the application of multiple adaptive neuro-fuzzy inference system (MANFIS) model which has hybrid learning algorithm for classification of ...
https://dblp.org/rec/conf/mie/YardimciA14 · Ahmet Yardimci , Özcan Asilkan: A new Multiple ANFIS model for classification of hemiplegic gait. MIE 2014: 88-92.
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A new Multiple ANFIS model for classification of hemiplegic gait. Yardimci A; Asilkan O Stud Health Technol Inform; 2014; 205():88-92. PubMed ID: 25160151
This paper describes the application of multiple adaptive neuro-fuzzy inference system (MANFIS) model which has hybrid learning algorithm for classification of ...
A new Multiple ANFIS model for classification of hemiplegic gait. MIE 2014 ... Fuzzy Logic Based Gait Classification for Hemiplegic Patients. IDA 2007: 344-354 ...
Gait patterns of hemiplegia patients have many potential applications such as assistance in diagnosis or clinical decision-making.
Missing: ANFIS | Show results with:ANFIS
Jul 14, 2023 · In this study, an adaptive neuro-fuzzy inference system (ANFIS) control system based on a nonlinear disturbance observer (NDO) and dynamic sliding mode ...
Gait patterns in CP present a broad spectrum of deviations, necessitating comprehensive classification systems for effective diagnosis and management.
Missing: ANFIS | Show results with:ANFIS