Titlebook: Artificial Intelligence for Fashion Industry in the Big Data Era; Sébastien Thomassey,Xianyi Zeng Book 2018 Springer Nature Singapore Pte

公社

intrigue

corporate

Enhanced Predictive Models for Purchasing in the Fashion Field by Applying Regression Trees Equippedadaptation. Since regression trees can be formulated through rules, this makes possible to comprehend the model. Nevertheless, a drawback of decision trees is the sensibility to input space, which may cause very enormous deviations in terms of prediction. To reduce this effect on forecast, we propos

針葉樹

無聊的人

Eeg332

Review of Artificial Intelligence Applications in Garment Manufacturingluding production planning, control, and scheduling; garment quality control and inspection; and garment quality evaluation. The challenges facing adoption of AI technologies in garment industry are discussed.

音樂學(xué)者

A Discrete Event Simulation Model with Genetic Algorithm Optimisation for Customised Textile Products. Indeed, the implementation of this model is very vast. This would permit the use of a powerful discrete event model with an optimisation algorithm which gives numerous possibilities from manufacturing scheduling to the global supply chain, distribution and logistics planning and optimisation.

流行

An Intelligent Fashion Replenishment System Based on Data Analytics and Expert Judgment. The retailer boosted sales, demand cover, and stock rotation performance: an estimated 1M EUR margin/month positive impact. Moreover, the new system improved store managers morale through non-monetary incentive-driven empowerment.

歌劇等

Artificial Intelligence Applied to Multisensory Studies of Textile Products we are going to discuss the recent application of artificial intelligence to the study of fabric tactile properties from a multisensory point of view. To be specific, the whole work is divided into two major parts. In the first part, the intelligent tools of fuzzy comprehensive evaluation and genet

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