SCOPUS 정보 검색 플랫폼

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2972, Issue , 2004, Pages 252-261

MultiGrid-based fuzzy systems for function approximation

(5) Herrera, Luis Javier a Pomares, Héctor a Rojas, Ignacio a Valenzuela, Olga a Awad, Mohammed a

a UNIVERSITY OF GRANADA (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; KNOWLEDGE BASED SYSTEMS; LINGUISTICS; PROBLEM SOLVING; REGRESSION ANALYSIS; ARTIFICIAL INTELLIGENCE; FUZZY INFERENCE; FUZZY SYSTEMS;

FUNCTION APPROXIMATION; FUZZY RULES; GRID BASED FUZZY SYSTEMS; EXPONENTIAL REDUCTION; GRID-BASED; MULTIGRID-BASED FUZZY SYSTEMS; OPTIMAL ARCHITECTURE; OPTIMAL PARAMETER; SYSTEM ARCHITECTURES; TRAINING POINTS;

FUZZY SETS; MEMBERSHIP FUNCTIONS;

EID: 9444259808 PISSN: 03029743 EISSN: None Source Type: Conference Proceeding
DOI: 10.1007/978-3-540-24694-7_26 Document Type: Conference Paper

Times cited : (6)

References (9)

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2
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3
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- Gonzalez, J., Pomares, H., Rojas, I., Ortega, J., Prieto, A.: A New Clustering Technique for Function Approximation. IEEEtrans. on Neural Networks, Vol.13, No.1. (2002) 132-142
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- Gonzalez, J.¹ Pomares, H.² Rojas, I.³ Ortega, J.⁴ Prieto, A.⁵

4
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- Gunn, S.R.¹ Brown, M.²

5
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- Self-organized fuzzy system generation from training examples
- February
- Rojas, I., Pomares, H., Ortega, J., Prieto, A.: Self-Organized Fuzzy System Generation from Training Examples. IEEE Trans. Fuzzy Systems, vol.8, no.1. February (2000) 23-36
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- Rojas, I.¹ Pomares, H.² Ortega, J.³ Prieto, A.⁴

6
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- A systematic approach to a self-generating fuzzy rule-table for function approximation
- Pomares, H., Rojas, I., Ortega, J., Prieto, A.: A systematic approach to a self-generating fuzzy rule-table for function approximation. IEEE Trans. Syst., Man, Cybern, vol.30. (2000) 431-447
- (2000) IEEE Trans. Syst., Man, Cybern , vol.30 , pp. 431-447
- Pomares, H.¹ Rojas, I.² Ortega, J.³ Prieto, A.⁴

7
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8
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- June
- Pomares, H., Rojas, I., Gonzalez, J., Prieto, A.: Structure Identification in Complete Rule-Based Fuzzy Systems. IEEE Trans. Fuzz. Vol.10, no. 3. June (2002) 349-359
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9
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