Assistant fashion design model based on Markov prediction

Expounding the importance of popular elements in fashion design,the paper proposed an assistant fashion design model based on case-based reasoning(CBR) and Markov prediction(MP),attempting to solve the issue of intelligent fashion design that the modern fashion enterprises are faced with.The model has combined information technology′s advantages(large capacity memory,high speed operation and detail analysis ability) with designer′s empirical subjective judgement.According to the forecast popular elements set from MP model,reasonable popular elements composition(fashion trend) was obtained through trend analysis.The fashion trend was obtained by CBR search in design case library and,design results,by designer′s modification and integration.Finally,the model was verified by practical applications in enterprise.