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

基本信息

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：
2017
资助国家：
加拿大
起止时间：
2017-01-01 至 2018-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637408
关键词：
Further studies dynamic neural networks

项目摘要

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. Further theoretical development of dynamical neural structures: Theoretical work will be carried out in the development of new dynamical neural architectures, study of their associative memory capabilities and stability characteristics. The novel design of dynamic neural networks will lead us to study their dynamic properties such as stability conditions and equilibrium capacity. The neuro-controllers with new dynamic neural structures and with learning and adaptive capabilities will be developed. Further work will be conducted on the design of new neural architectures for their applications to receptive fields, associative memory, visual memory and other visual functions. As during the past, several graduate students, postdoctoral fellows, visiting professors/scientists and several faculty members of the College will play an important role in the activities of these proposed research plans. This country Canada is in need of some qualified persons with high-level of research experiences in the field of neural networks, fuzzy logic and robotic systems, and as during the past, this proposed research has promise the produce such qualified personnel.

动态神经网络和模糊逻辑是最近开发的两个理论工具，这些工具在控制复杂的动态系统，视觉系统，机器人技术，医疗图像处理以及工业系统中的决策问题等领域中发现了广泛的应用。在过去的二十年中，我们的智能系统研究实验室的小组在这两个重要领域建立了广泛的理论基础，并合并了这两种数学工具来开发模糊的神经系统，并将这些理论工具应用于复杂的动态系统问题。在接下来的五年中，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，并将其应用于某些工业，医学图像处理和空间问题。动态神经结构的进一步理论发展：理论工作将在新的动态神经体系结构的发展，研究其关联记忆能力和稳定性特征方面进行。动态神经网络的新型设计将使我们研究其动态特性，例如稳定性条件和平衡能力。将开发具有新动态神经结构以及学习和适应能力的神经控制器。将对新的神经体系结构的设计进行进一步的工作，以应用其在接受场，关联记忆，视觉记忆和其他视觉功能上。与过去一样，几位研究生，博士后研究员，访问教授/科学家和学院的几位教职员工将在这些拟议的研究计划的活动中发挥重要作用。加拿大这个国家需要一些合格的人，在神经网络，模糊逻辑和机器人系统领域具有高级研究经验，并且与过去一样，这项拟议的研究保证了这种合格的人员。