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MACHINE LEARNING SYSTEM BASED ON HYBRID MACHINE CHARACTER AND DEVELOPMENT METHOD THEREOF

机译:基于混合机器特征的机器学习系统及其开发方法

摘要

The present invention relates to a machine learning system based on a hybrid machine character that a method for utilizing multiple personality of human is applied to machine learning and an implementation method thereof. The implementation method comprises the steps of: distinguishing one artificial intelligence into a plurality of machine characters to have classes and class characteristics different from each other based on learning data; applying test data to the plurality of distinguished machine characters to extract features for each state having a good classification success rate for each machine character; identifying a feature for each state consistent with a state of input data among the extracted features for each state when applying the input data to be recognized; and classifying classes of the input data by calling a machine character indicating a high recognition rate for the identified feature for each state of the machine characters.
机译:基于混合机器特征的机器学习系统技术领域本发明涉及一种基于混合机器特征的机器学习系统。该实现方法包括以下步骤:基于学习数据将一个人工智能区分为多个机器角色,以具有彼此不同的类别和类别特征;将测试数据应用于多个不同的机器字符,以提取每个状态的特征,每个特征具有对每个机器字符良好的分类成功率;当应用要识别的输入数据时,在每个状态的提取特征中识别与输入数据的状态一致的每个状态的特征;通过调用一个机器字符对输入数据的类别进行分类,该机器字符表示对于每个机器字符状态的识别特征的识别率很高。

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