<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Al-Qadisiyah University</PublisherName>
				<JournalTitle>AL-Qadisiyah Journal  For Administrative and Economic sciences</JournalTitle>
				<Issn>1816-9171</Issn>
				<Volume>12</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2011</Year>
					<Month>12</Month>
					<Day>28</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Building statistical models of data mining is not the product of wheat in Iraq</ArticleTitle>
<VernacularTitle>بناء نماذج تنقيب البيانات الاحصائية لا نتاج الحنطة في العراق</VernacularTitle>
			<FirstPage>97</FirstPage>
			<LastPage>108</LastPage>
			<ELocationID EIdType="pii">40493</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Raad</FirstName>
					<LastName>F. Hassan</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2011</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</History>
		<Abstract>this search deals with the artificial neural network model in predicted model for data of agriculture production of wheat in iraq. by using the form ( 1-2-2 )FFNN which represented one input layer consist of two independent variables add to the constant (the bias ) and one hidden layer consist of two nodes each node taken to be logistic function from  the other hand the output layer consist of one node represented dependent variables (response variable )add to the constant     ( bias )and this node taken to be linear  function this study plained that the artificial neural network model is the best for building the predicted model of wheat production in iraq .</Abstract>
<ArchiveCopySource DocType="pdf">https://qjae.qu.edu.iq/article_40493_49897811809958b58faed4230f03e432.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
