检索结果-南通市图书馆

Fused and Modified Evolutionary Optimization of Multiple Intelligent Systems Using ANN, SVM Approaches

Computers, Materials & Continua 2021年第2期66卷 1479-1496页

作者： Jalal Sadoon Hameed Al-bayati Burak Berk Üstündağ Jalal Sadoon Hameed Al-bayati Istanbul Technical UniversityIstanbul34469Turkey Burak BerkÜstündağ Istanbul Technical UniversityIstanbul34469Turkey

The Fused Modified Grasshopper Optimization Algorithm has been proposed,which selects the most specific feature sets from images of the disease of plant *** Proposed algorithm ensures the detection of diseases during the early stages of the diagnosis of leaf disease by farmers and,finally,the crop needed to be controlled by farmers to ensure the survival and protection of *** this study,a novel approach has been suggested based on the standard optimization algorithm for grasshopper and the selection of *** conditions in plants are a major factor in reducing crop yield and *** delay or errors in the diagnosis of the disease can lead to delays in the management of plant disease spreading and damage and related material *** new heuristic optimization of swarm intelligence,Grasshopper Optimization Algorithm was inspired by grasshopper movements for their feeding *** simulates the attitude and social interaction of grasshopper swarm in terms of gravity and wind *** the decision on features extracted by an accelerated feature selection algorithm,popular approaches such as ANN and SVM classifiers had been *** the evaluation of the proposed model,different data sets of plant leaves were *** proposed model was successful in the diagnosis of the diseases of leaves the plant with an accuracy of 99.41 percent(average).The proposed biologically inspired model was sufficiently satisfied,and the best or most desirable characteristics were ***,the results of the research for these data sets were estimated by the proposed Fused Modified Grasshopper Optimization Algorithm(FMGOA).The results of that experiment were demonstrated to allow classification models to reduce input features and thus to increase the precision with the presented Modified Grasshopper Optimization *** and analysis were performed to prove the model validity through model parameters such as precision,recall,f-

关键词： Fusion machine learning plant leaves diseases feature selection fused modified grasshopper algorithm

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：