Aiming at the problem that some key biological parameters are difficult to be measured online in fermentation process

combined artificial intelligence technology with object-oriented programming technology

a web-based modeling system was designed and realized

which supply all kinds of neural network algorithms and optimization design.Based on lightweight framework and making use of standard of Eclipse

the web layer

business logic layer and data persistence layer were separated.On business logic layer

neural network algorithms were implemented

and the interactive exchange between java and matlab was achieved.The system can be applied to practical soft-sensing modeling and the analysis and compare among different modeling methods.The validity and feasibility of the software were verified by practical effect application in lysine fermentation process.