• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International astronautical congress >APPLYING GENETIC ALGORITHMS TO EVALUATE FEMUR MORPHOMETRY ADAPTATION ON MARS GRAVITY
【24h】

APPLYING GENETIC ALGORITHMS TO EVALUATE FEMUR MORPHOMETRY ADAPTATION ON MARS GRAVITY

机译：应用遗传算法评估火星引力的有限形态学适应性

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Bone is a hard and complex tissue that forms the skeleton of most vertebrates. It is alive and dynamic, participating in a continuously process of remodeling. Bone tissue has features that allow itself to detect environment changes. Among its attributes, the one this work aim to explore is the gravity recognition and adaptation capability (Pereira, et al., 2015). A Genetic Algorithm will be used to model a system to translate how the femur shape will either evolve or adapt based on Mars gravity parameters. GA for short, is a programming technique which mimics biological evolution as a strategy for solving problems. Genetic algorithm is an AI technique that was developed in order to imitate certain biological processes observed in the natural evolution of species. This technique is based on the explanations offered by Charles Darwin about the selection and development of individuals.This work aims to Apply Genetic Algorithm on femur morphometry to define and to visualize how would Mars gravity shape the bone after rounds of generations. Given the interdisciplinary nature of this project, the results transits between both computational framework (models and tools) and applications (study of skeleton morphometry and biomechanics).
机译：骨是一种坚硬而复杂的组织，形成大多数脊椎动物的骨架。它是活着的，动态的，参与重塑的连续过程。骨组织具有允许自身检测环境变化的特征。在其属性中，这项工作旨在探索的是重力识别和适应能力（Pereira，等，2015）。遗传算法将用于建模系统转换股骨形状如何发展或基于MARS重力参数来改编。 GA for Short，是一种编程技术，模拟生物进化作为解决问题的策略。遗传算法是一种由AI技术开发的，以模仿在物种的自然演化中观察到的某些生物学过程。该技术基于Charles Darwin提供了个体的选择和发展的解释。本作工作旨在在股骨形态学上应用遗传算法来定义和可视化火星重力在几代后的骨骼将如何塑造骨骼。鉴于该项目的跨学科性质，结果在计算框架（模型和工具）与应用（骨架形态学和生物力学的研究）之间的转运。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号