Implementation Of The Morphological Shared-Weight Neural Network (Msnn) For Target Recognition On The Parallel Algebraic Logic (Pal) Computer

The morphological shared-weight neural network (MSNN) is an effective approach to automatic target recognition. Implementation of the network in parallel is critical for real-time target recognition systems.Although there is significant parallelism inherent in the MSNN, it is a challenge to implement it on an SIMD parallel computer consisting of a large array of simple processing elements. This paper discusses issues related to detection accuracy and throughput in implementing the MSNN on the Parallel Algebraic Logic (PAL) computer.