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| 基于BP神经网络的橡胶粉砂浆性能的预测 | |
| 引用本文： | 贾阁森,严捍东,黄国晖. 基于BP神经网络的橡胶粉砂浆性能的预测[J]. 混凝土, 2008, 0(5): 109-111 |
| 作者姓名： | 贾阁森 严捍东 黄国晖 |
| 作者单位： | 华侨大学,土木工程学院,福建,泉州,362021;华侨大学,土木工程学院,福建,泉州,362021;华侨大学,土木工程学院,福建,泉州,362021 |
| 基金项目： | 福建省自然科学基金 , 建设部科技攻关项目 |
| 摘 要： | 与传统砂浆相比,新型砂浆具有成分复杂的特点,砂浆性能随成分变化产生的波动性很大.砂浆成分的微小改变导致新拌砂浆性能和硬化砂浆力学性能较大改变,传统砂浆配合比计算方法不适用橡胶粉砂浆.人工神经网络技术通过一组试验数据的学习,使其可以预测橡胶粉砂浆的性能,并以另三组独立的试验数据来检验网络的学习效果,此项研究提供了人工智能在砂浆配合比设计中的应用方法,并为新型砂浆外加剂掺量选择提供另一种手段. |
| 关 键 词： | 橡胶粉砂浆 抗压强度 砂浆稠度 BP神经网络 |
| 文章编号： | 1002-3550(2008)05-0109-03 |
| 修稿时间： | 2007-12-26 |
Predicating properties of rubber mortar based on BP neural network |
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| JIA Ge-sen,YAN Han-dong,HUANG Guo-hui. Predicating properties of rubber mortar based on BP neural network[J]. Concrete, 2008, 0(5): 109-111 | |
| Authors: | JIA Ge-sen YAN Han-dong HUANG Guo-hui |
| Affiliation: | JIA Ge-sen,YAN Han-dong,HUANG Guo-hui(College of Civil Engineering,Huaqiao University,Quanzhou 362021,China) |
| Abstract: | Composition of new-style mortar,compared with the traditional mortar,is more complicated.The properties of new-style mortar fluctuate evidently with the changes of the composition,which result in the traditional mortar can not apply in new-style mortar.The artificial neural network should be trained by a group of data.And then the properties of rubber mortar,compared with those that come from experiments,are predicated.A method of mix proportion design and means for the selection of admixture content are pr... |
| Keywords: | rubber mortar compressive strength mortar consistency BP neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |