Artificial Neural Network Prediction of Coefficient Thermal Expansion of Tooling Board

工装板热膨胀系数的人工神经网络预测

• 批准号: 131980
• 金额: $ 2.16万
• 依托单位: BASE MATERIALS LIMITED
• 依托单位国家: 英国
• 项目类别: Feasibility Studies
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=131980
• 关键词: Artificial; Neural; Network; Prediction; Coefficient

We propose to develop an Artificial Neural Network (ANN) for the prediction of polymer composite material properties of a novel tooling board system. The ANN should enable us to identify target formulations and process conditions thereby minimising the amount of experimentation and development required to tailor our product to customer’s requirements. The work will be conducted on data sets of materials properties already held within Base Materials and the performance of the ANN will be demonstrated on blind data sets.

我们建议开发一个人工网络（ANN），以预测E ANN的聚合物组成材料的性能，使我们能够确定目标配方条件，从而确定实验的数量和开发的数量o o量身定制我们的产品将在盲目的数据集中证明材料的材料特性材料特性和ANN的性能。