Classification model of education method based on improved multi-label and FPGA system

摘要

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.