尚未登入 請由此登入
 
 
 










知識分享平台Eshare檢視資訊View
返回前一頁Back
      [檢舉]

標題Title: Classification model of product form design using fuzzy SVM
作者Authors: 楊智傑,Meng-Dar..等
上傳單位Department: 多媒體與電腦娛樂科學系
上傳時間Date: 2009-11-16
上傳者Author: 楊智傑
審核單位Department: 多媒體與電腦娛樂科學系
審核老師Teacher: 楊智傑
檔案類型Categories: 論文Thesis
關鍵詞Keyword: Consumers’preferences, Multiclass fuzzy support vector machines, Mobile phone design
摘要Abstract: Consumers’ preferences toward product design are often affected by a large number of form features. It is very important for product designers to understand the relationship between consumers’ preferences and product form features. In this paper, an approach based on multiclass fuzzy support vector machines (multiclass fuzzy SVM) is proposed to construct the prediction model of consumers’ preferences. Product samples are collected and their form features are systematically examined. Each product sample is assigned a class label and a fuzzy membership agreeing this label to formulate a multiclass classification problem. A one-versus-one multiclass fuzzy SVM model is constructed using collected product samples. Optimal training parameter set of model is determined by a two-step cross-validation. A case study of mobile phone design is also given to demonstrate the effectiveness of proposed methodology. Two standard kernel functions including polynomial kernel and Gaussian kernel are used and compared their performance. The experiment results show that the performance of Gaussian kernel model is better than polynomial model. The Gaussian model performed very well and is capable to prevent the overfitting problem.

檔案名稱
FileName
檔案大小
Size
檔案格式
Format
瀏覽次數
Browses
下載次數
Downloads
2009_11_c55848f6.doc 1234Kb doc 854 186
文件中檔案:
 

開啟檔案Download
開啟Ps檔
 
 
返回前一頁