APPLICATION OF NETWORK-BASED NEURO-FUZZY SYSTEM FOR PREDICTION OF THE STRENGTH
OF HIGH STRENGTH CONCRETE

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RAMEZANIANPOUR A.A.; SOBHANI MAHDI; SOBHANI J.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: AMIRKABIR Year:2004 | Volume:15 | Issue:59-C Page(s): 78-93

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Title

APPLICATION OF NETWORK-BASED NEURO-FUZZY SYSTEM FOR PREDICTION OF THE STRENGTH OF HIGH STRENGTH CONCRETE

Author(s)

RAMEZANIANPOUR A.A. | SOBHANI MAHDI | SOBHANI J. | Issue Writer Certificate

Keywords

HIGH STRENGTH CONCRETEQ4

NEURO-FUZZY SYSTEMQ4

ARTIFICIAL INTELLIGENCEQ4

Abstract

in this paper, application of adaptive network based fuzzy inference system (ANFIS) in estimation of compressive strength of HIGH STRENGTH CONCRETE (HSC) was investigated. ANFIS is a hybrid structure that is based on fuzzy If-Then Rules that are represented in a network. To predict the compressive strength of HSC with ANFIS. totally 429 records collected from four different resources. Records were randomly divided into two sets. One set is called training set that is used to train the ANFIS models and another set called testing pairs was used for evaluation of , the models. Totally 56 different ANFIS models with various membership functions were used to predict the compressive strength of HSC. These models were evaluated with root means square. and correlation factors. Finally with comparison of the capabilities of the models. some models were proposed as optimum models. It was found that model with triangular membership function (trimf) and "St334333" structure (4 membership function for super plasticizer and three membership function for other concrete mix components) is the best model to predict the HSC's compressive strength regarding its components.

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APA: Copy

RAMEZANIANPOUR, A.A., SOBHANI, MAHDI, & SOBHANI, J.. (2004). APPLICATION OF NETWORK-BASED NEURO-FUZZY SYSTEM FOR PREDICTION OF THE STRENGTH OF HIGH STRENGTH CONCRETE. AMIRKABIR, 15(59-C), 78-93. SID. https://sid.ir/paper/898/en

Vancouver: Copy

RAMEZANIANPOUR A.A., SOBHANI MAHDI, SOBHANI J.. APPLICATION OF NETWORK-BASED NEURO-FUZZY SYSTEM FOR PREDICTION OF THE STRENGTH OF HIGH STRENGTH CONCRETE. AMIRKABIR[Internet]. 2004;15(59-C):78-93. Available from: https://sid.ir/paper/898/en

IEEE: Copy

A.A. RAMEZANIANPOUR, MAHDI SOBHANI, and J. SOBHANI, “APPLICATION OF NETWORK-BASED NEURO-FUZZY SYSTEM FOR PREDICTION OF THE STRENGTH OF HIGH STRENGTH CONCRETE,” AMIRKABIR, vol. 15, no. 59-C, pp. 78–93, 2004, [Online]. Available: https://sid.ir/paper/898/en

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