| contributor author | Soni, Sitaram | |
| contributor author | Khanna, Pritee | |
| contributor author | Tandon, Puneet | |
| date accessioned | 2017-05-09T00:57:07Z | |
| date available | 2017-05-09T00:57:07Z | |
| date issued | 2013 | |
| identifier issn | 1530-9827 | |
| identifier other | jcis_13_1_011006.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/151210 | |
| description abstract | The research described is the initial efforts to develop knowledge based support system to the aesthetic design in industrial products. The methodology takes into account the cognition process during the design generation and captures this behavior in a group theoretic structure. This approach leads to a mathematically robust model for the creative design generation during the product design. Based on this model, an artificial neural network (ANN) and genetic algorithm (GA) based framework is implemented to assess the validity and usefulness of the approach. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Knowledge Support System for Aesthetics in Product Design | |
| type | Journal Paper | |
| journal volume | 13 | |
| journal issue | 1 | |
| journal title | Journal of Computing and Information Science in Engineering | |
| identifier doi | 10.1115/1.4023355 | |
| journal fristpage | 11006 | |
| journal lastpage | 11006 | |
| identifier eissn | 1530-9827 | |
| tree | Journal of Computing and Information Science in Engineering:;2013:;volume( 013 ):;issue: 001 | |
| contenttype | Fulltext | |