用于满足家庭材料需求的凯斯基碱基推理

Abdul Rozaq
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引用次数: 4

摘要

建筑材料是建造房屋的重要因素,要估算建造房屋所需的资金,消费者或开发商可以估算建造房屋所需的资金。为了解决这些问题,使用案例基础推理(CBR)方法,这种方法能够基于已经存在的案例来推理或解决问题,作为新问题的解决方案。本研究构建的系统是一个用于确定房屋建筑材料需求的CBR系统。咨询过程是通过插入与旧案例比较的新案例,然后使用最近邻计算相似值来完成的。第一次测试通过插入测试数据,然后与每种类型的家庭进行比较,获得了83.6%的准确性。第二次检验采用K = 25的K-fold交叉验证,数据数为200,数据将分为训练数据和测试数据两部分,训练数据多达192个数据,测试数据多达8个数据。交叉验证方法。该CBR系统的准确率为85.71%
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CASE BASE REASONING UNTUK MENENTUKAN KEBUTUHAN BAHAN BANGUNAN RUMAH
Building materials is an important factor to built a house, to estimate funds the needs of build a house, consumers or developers can estimate the funds needed to build a house. To solve these problems use case base reasoning (CBR) approach, which method is capable of reasoning or solving the problem based on the cases that have been there as a solution to new problems. The system built in this study is a CBR system for determine the needs of house building materials. The consultation process is done by inserting new cases compared to the old case similarity value is then calculated using the nearest neighbor. The first test by inserting test data then compared with each type of home then obtained an accuracy of 83.6%. The second test is done by K-fold Cross Validation with K = 25 with the number of data 200, the data will be divided into two parts, namely the training data and test data, training data as many as 192 data and test data as many as 8 data. K-Fold Cross Validation method. This CBR system can produce an accuracy of 85.71%
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