Research On Hardware Implementation Of BP Neural Network Based On NIOS â…¡ Multiprocessor Technology

Artificial Neural Networks(ANN) is one of the hot problems in intelligence. information process area.At present,the implementation of ANN is based on the soft simulation with general purpose computer,so it can not be used in some embedded system which has limits of size,stability,power and other demanding.To solve this problem,this research uses NIOS microprocessor technology to study the hardware implementation of BP neural network.First,ANN is introduced in the paper,as well as the BP neural network,the SOPC technology and the communication technology among NIOS microprocessors. Second,the hardware architecture is expounded,as well as the functional module of chip.Third,the design process of using the BP neural network,which is implemented with NIOS multiprocessor technology,to fit a sine curve is introduced.The flow of software design is also given.Finally,the result is presented and discussed.With the intensive study of ANN,the hardware implementation of ANN methods is researched deeply.ANN applications are expanded.An effective simulation platform for the biological neural network will be provided for further research.The research which will promote the development of ANN and the intelligent information processing technology,offers important theoretical significance and engineering value.