Further studies dynamic neural networks and fuzzy logic with applications to neuro-control and neuro-vision systems in robotics

进一步研究动态神经网络和模糊逻辑及其在机器人神经控制和神经视觉系统中的应用

• 批准号: 5625-2011
• 负责人: Gupta, Madan
• 金额: $ 1.6万
• 依托单位: University of Saskatchewan
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=509439
• 关键词: Further; studies; dynamic; neural; networks

Dynamic neural networks and fuzzy logic are the two recently developing theoretical tools which have found a wide range of applications in the areas such as control of complex dynamic systems, vision systems, robotics, medical image processing, and decision making problems in industrial systems. Over the past two decades, our group at the Intelligent Systems Research Laboratory has developed an extensive theoretical basis in these two important areas, have merged these two mathematical tools for developing the fuzzy neural systems and have applied these theoretical tools to problems of complex dynamic systems. Over the next five years, we wish to extend these theoretical tools in the field of dynamic neural networks and fuzzy neural systems, and apply them to some industrial, medical image processing and space problems.

动态神经网络和模糊逻辑是近年来发展起来的两种理论工具，在复杂动态系统控制、视觉系统、机器人、医学图像处理、工业系统决策等领域有着广泛的应用。在过去的二十年里，我们的小组在智能系统研究实验室已经制定了广泛的理论基础，在这两个重要领域，合并了这两个数学工具，发展模糊神经系统，并已将这些理论工具的问题，复杂的动态系统。在接下来的五年里，我们希望将这些理论工具扩展到动态神经网络和模糊神经系统领域，并将其应用于一些工业，医学图像处理和空间问题。