| 本文已被：浏览 1721次 下载 1027次 |
码上扫一扫！ |
|
|
| 基于神经网络的乳儿产品交互性设计评价 |
|
潘峰1, 巩炯炯2, 毛轶超3
|
|
1.Hefei University Department of Art and Design, Hefei 230601, China;2.Xi'an Polytechnic University, School of Costume and Art Design, Xi'an 710048, China;3.Nanjing Institute of Technology NJIT Institute of Art & Design, Nanjing 211167, China
|
|
| 摘要: |
| 目的 基于 RBF 神经网络研究一种乳儿产品交互性设计评价的方法。方法 针对乳儿产品交互性评价的 3 个指标，即“使用性、教育性、娱乐性”及其子指标，运用 ANP 网络分析法来确定各指标在总体评价中占有的权重；然后据此建立基于 RBF 神经网络的乳儿产品交互性设计评价模型，并用实际案例来验证其可行性。结论 该评价方法经实际验证，其评价效果客观合理，对于更精确地对乳儿产品的交互性设计进行评价有一定的参考价值。 |
| 关键词: 乳儿产品设计 交互性设计评价 ANP 网络分析法 RBF 神经网络 |
| DOI：10.19554/j.cnki.1001-3563.2018.16.026 |
| 分类号:TB472 |
| 基金项目:安徽高校人文重点项目（SK2016A0777）；安徽省重大教改项目（2015zdjy139） |
|
| Baby Products Interactive Design Evaluation Based on Neural Network |
|
合肥学院 艺术设计系，合肥 230601,西安工程大学 服装与艺术设计学院，西安 710048,南京工程学院 设计艺术学院，南京 211167
|
| Abstract: |
| Based on RBF neural network, it aims to provide a feasible solution of baby products interactive evaluation method. This paper confirms three indicators of baby products interactive evaluation: usability, education and entertainment, ANP network analysis method is used to obtain the weight of each indicators in the overall evaluation as they interact with each other. Then according to the weights of evaluation indicators, establish comprehensive evaluation model of baby products based on RBF neural network, and verify the feasibility of the evaluation model in practice. Its evaluation result is objective and reasonable, is conducive for more accurate baby products interactive evaluation. |
| Key words: baby products design interactive design evaluation ANP network analysis method RBF neural network |
渝公网安备 50010702501716号