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Volumn 9, Issue 1, 2009, Pages 305-307

A fuzzy filter for improving the quality of the signal in adaptive-network-based fuzzy inference systems (ANFIS)

Author keywords

ANFIS; Control process; Fuzzy logic; Noise; Spectral density; Wood dryer

Indexed keywords

ADAPTIVE SYSTEMS; FUZZY SYSTEMS; NETWORK PROTOCOLS; SENSOR NETWORKS; WAVE FILTERS;

EID: 53949088460     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2008.02.005     Document Type: Article
Times cited : (9)

References (10)
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    • A neuro-fuzzy approach for prediction of human work efficiency in noisy environment
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    • 34548482506 scopus 로고    scopus 로고
    • A novel approach for ANFIS modeling based on full factorial design
    • Buragohain M., and Mahanta C. A novel approach for ANFIS modeling based on full factorial design. Appl. Soft Comput. 8 1 (2008) 609-625
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  • 7
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    • A simple generalized neuro-fuzzy operator for efficient removal of impulse noise from highly corrupted digital images
    • Yüksel M., and Baştürk A. A simple generalized neuro-fuzzy operator for efficient removal of impulse noise from highly corrupted digital images. AEU Int. J. Electron. Commun. 59 1 (2005) 1-7
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    • Exponential H∞ filter design for uncertain Takagi-Sugeno fuzzy systems with time delay
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.