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

动态神经网络和模糊逻辑是最近发展起来的两个理论工具，它们在复杂动态系统的控制、视觉系统、机器人、医学图像处理和工业系统中的决策问题等领域得到了广泛的应用。在过去的二十年中，我们在智能系统研究实验室的小组在这两个重要领域发展了广泛的理论基础，将这两种数学工具融合在一起开发模糊神经系统，并将这些理论工具应用于复杂动态系统的问题。在未来五年内，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。

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.