Artificial Neural Network (ANN) Approach on Two-dimensional Warranty: Case Study in Malaysian Automobile
Different types of warranty policy are produced in order to fulfill the demand of manufacturers and also the requirement of buyers. Recent developments in warranty cost model with integrated expert system have improved the flexibility and effectiveness of conventional system while heightens the need for marketing. In this paper, feed forward backpropagation neural network with multi layer perceptron is used as an expert system tool to model the warranty cost and inspection interval during the warranty period. In the implementation stage, the values of Mean Square Error has achieved to the goal and from the accuracy analysis of experimental result, the proposed model was found to achieve considerable good performance.
Artificial Neural Network Two-dimensional Warranty Warranty
Ang Jun Chin Hairudin Bin Abd Majid Azurah A. Samah Lili Ayu Wulandhari
Department of Modeling and Industrial Computing, Faculty of Computer Science and Information System, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
国际会议
2011 International Conference on Information and Industrial Electronics(2011年信息与工业电子国际会议 ICIIE 2011)
成都
英文
283-287
2011-01-14（万方平台首次上网日期，不代表论文的发表时间）