Application of adaptive-network-based fuzzy inference systems to classification of swelling-shrinkage grade of expansive soils
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Application of adaptive-network-based fuzzy inference systems to classification of swelling-shrinkage grade of expansive soils
Vol. 27, Issue 6, (2006)
作者机构:
1. 广西大学 土木建筑工程学院 防灾减灾研究所,南宁,530004
2. 中国科学院 岩土力学重点实验室,武汉,430071
3. 桂林工学院,桂林,541004
作者简介:
基金信息:
DOI:
CLC:P642.13O274
Online First:14 November 2013,
Published:2006
稿件说明:
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LU Hai-bo, ZHAO Yan-lin, KONG Ling-wei, et al. Application of adaptive-network-based fuzzy inference systems to classification of swelling-shrinkage grade of expansive soils[J]. 2006, 27(6).
DOI:
LU Hai-bo, ZHAO Yan-lin, KONG Ling-wei, et al. Application of adaptive-network-based fuzzy inference systems to classification of swelling-shrinkage grade of expansive soils[J]. 2006, 27(6).DOI:
Application of adaptive-network-based fuzzy inference systems to classification of swelling-shrinkage grade of expansive soils
The expansive potential of expansive soils is decided by many factors. It is a multi-factors evaluation problem for classification of swelling-shrinkage grade of expansive soil. The theory of adaptive-network-based fuzzy inference systems (ANFIS) was introduced and subtractive cluster method was applied to deciding fuzzy inference rules. After that
an ANFIS was proposed and applied to two engineerings. Good results were obtained for many test examples. It is concluded that ANFIS can function as BP neural network and fuzzy comprehensive evaluation on classification of swelling-shrinkage grade of expansive soil; and moreover
ANFIS is clearer than BP neural network in network structure and possesses of self-study ability compared with fuzzy comprehensive evaluation. The application of ANFIS on classification of swelling-shrinkage grade of expansive soil is feasible.