Embedded platform based neural network model online training method

The invention discloses an embedded platform based neural network model online training method which can automatically set relative parameters according to the data characteristics and can set manual parameter simultaneously, thus maximally meeting the requirements of real time and intelligence. The method enables a running system to satisfy multiple functions such as portability, intelligent analysis and the like, overcomes the defect that the previous systems are hard to realize miniaturization and decide relevant training parameters and are complex in operations, and provides a low-cost, portable and high real-time solution for pattern recognition or soft sensing in the complex process of petrochemical.