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A system and method to input parameters to a Fuzzy Neural Network System

机译:向模糊神经网络系统输入参数的系统和方法

摘要

#$%^&*AU2019100247A420190418.pdf#####A system and method to input parameters to a fuzzy neural network system. HumAlnify 7 March 2019 Abstract Artificial intelligence, and machine learning is becoming very popular. One deficiency however, is the length of time, and/or amount of data that needs to be collected in order to train a machine. Human experts can help speed up the time to learn by providing hints from their experience or through simple common sense. Today these hints not only requires an understanding of artificial intelligence and machine learning programming, but also an understanding of the system that is being learnt. The present invention provides a solution to the problem through the use of a system - Fuzzy Neural Networks coupled with a user interface that allows non-programmatic adjustments to help train a machine faster.Figure 2: System Configuration Inputs (X) External Controls (A) System User Interface
机译:#$%^&* AU2019100247A420190418.pdf #####向模糊神经网络输入参数的系统和方法系统。HumAlnify2019年3月7日抽象人工智能和机器学习正变得非常流行。但是,一种不足是时间长度和/或为了训练机器而需要收集的数据量。人类专家可以通过提供经验或技巧来帮助加快学习时间通过简单的常识。今天,这些提示不仅需要对人工的理解智能和机器学习编程,但也了解系统被学习。本发明通过使用系统-模糊神经提供了解决该问题的方法。网络与用户界面相结合,可进行非编程调整以帮助培训机器更快。图2:系统配置输入(X)外部控制(A)系统用户界面

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