<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>International Journal of Optimization in Civil Engineering</title>
<title_fa>عنوان نشریه</title_fa>
<short_title>IJOCE</short_title>
<subject>Engineering &amp; Technology</subject>
<web_url>http://ijoce.iust.ac.ir</web_url>
<journal_hbi_system_id>18</journal_hbi_system_id>
<journal_hbi_system_user>agent2</journal_hbi_system_user>
<journal_id_issn>2228-7558</journal_id_issn>
<journal_id_issn_online>3060-8236</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi>doi</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science></journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1398</year>
	<month>1</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2019</year>
	<month>4</month>
	<day>1</day>
</pubdate>
<volume>9</volume>
<number>2</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM AND STEPWISE REGRESSION FOR COMPRESSIVE STRENGTH ASSESSMENT OF CONCRETE CONTAINING METAKAOLIN</title>
	<subject_fa>Applications</subject_fa>
	<subject>Applications</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Research</content_type>
	<abstract_fa></abstract_fa>
	<abstract>In the current study two methods are evaluated for predicting the compressive strength of concrete containing metakaolin. Adaptive neuro-fuzzy inference system (ANFIS) model and stepwise regression (SR) model are developed as a reliable modeling method for simulating and predicting the compressive strength of concrete containing metakaolin at the different ages. The required data in training and testing state obtained from a reliable data base. Then, a comparison has been made between proposed ANFIS model and SR model to have an idea about the predictive power of these methods.</abstract>
	<keyword_fa></keyword_fa>
	<keyword>adaptive neuro-fuzzy inference system (ANFIS), stepwise regression (SR), compressive strength of concrete, reliable modeling method, metakaolin.</keyword>
	<start_page>251</start_page>
	<end_page>272</end_page>
	<web_url>http://ijoce.iust.ac.ir/browse.php?a_code=A-10-66-223&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Y.</first_name>
	<middle_name></middle_name>
	<last_name>Sharifi</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>180031947532846001472</code>
	<orcid>180031947532846001472</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>M.</first_name>
	<middle_name></middle_name>
	<last_name>Hosseinpour</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>180031947532846001473</code>
	<orcid>180031947532846001473</orcid>
	<coreauthor>No</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
