FPGA Field Programmable Gate Array is one method of large scale integration technique which can be programmed to become almost any kind of system or digital circuit, A field programmable gate array based education system and classification model is the multi-way of using field programmable gate array. The configuration course observes and controls the learning of education method. It develops all the training classification model of Understudies information, expert and personal aptitudes and competencies. An improved multi label design is the ideal cross-species analytical tests based on efficiency and the Large scale integration Designing education Instruction Teaching Program, Education methods are created to meet these new requirements, including classification model. The front of the analog to digital conversion technique performs the construction and testing of field programmable based control classification models for various applications. The education method focuses on the fundamental contradictions between programming-based classification models and the principal elements of field programmable gate array innovation and its ongoing applications. The large scale integration circuit contains a lot of multi-name class names. Each manufacturing model recognizes the context in which it is spoken through a difficult conversion. For example, invisible, select from existing strategies to determine individuals from each potential class. This survey gives the structure of the robot classification model, and finally focuses on the planning and use of Field Programmable Gate Array as the most popular reproduction results.

FPGA现场可编程门阵列是一种大规模集成技术的方法，可以将其编程为几乎任何类型的系统或数字电路。基于现场可编程门阵列的教学系统和分类模型是使用现场可编程门阵列的多路方法。 。配置课程观察并控制教学方法的学习。它开发了本科信息，专家和个人才智和能力的所有培训分类模型。改进的多标签设计是基于效率和大规模集成设计教育指导教学计划的理想跨物种分析测试，创建了满足这些新要求的教育方法，包括分类模型。模数转换技术的前端执行用于各种应用的基于现场可编程控制分类模型的构建和测试。该教学方法着眼于基于编程的分类模型与现场可编程门阵列创新及其持续应用的主要要素之间的根本矛盾。大规模集成电路包含许多多名称类名称。每个制造模型都可以通过困难的转换来识别说出它的上下文。例如，看不见，请从现有策略中进行选择，以确定每个潜在类别中的个人。这项调查给出了机器人分类模型的结构，