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应用基于遗传算法的人工神经网络模型,满足服装面料各因素选择所涉及到的多目标优化等要求,为遗传算法找到适应度函数,以此建立面料因素的智能选择系统模型.以女装面料的选择为例,将款式、风格、价位和季节作为输入层,以面料的原料、织造方式、元素和色调作为输出层,建立人工神经网络,将服装选材的定性指标转化为计算机能够识别的数值,通过样本的训练,研究出服装智能选材的新方法,从而为服装材料的选择提供一种新途径.
The artificial neural network model based on genetic algorithm is applied to meet the multi-objective optimization and other requirements involved in the selection of the various factors of the fabric, and the fitness function is found for the genetic algorithm to establish the intelligent selection system model of the fabric factor. As an example, the style, style, price and season as the input layer to the fabric of raw materials, weaving methods, elements and hues as the output layer, the establishment of artificial neural network, the qualitative selection of clothing material into a numerical identification of the computer through Sample training to study the new method of apparel smart selection, which provides a new way for the selection of apparel materials.