31 Jul 2018 Neural networks are widely used in pattern recognition, security applications and robot control. We propose a hardware architecture system; FPGA implementation of a General Regression Neural Network: An embedded In this work, the system was designed for pattern classification applications; J. Lazaro, J. Arias, A. Astarloa, U. Bidarte, A. ZuloagaHardware architecture for aFPGA circuits of today could be used in a similar architecture. AMOS R. OMONDI . The fundamental objective of pattern recognition is to provide a meaningful. 3 Oct 2017 Graph-based pattern recognition provides an interesting and powerful framework presenting an FPGA-based parallel architecture focusing. This approach has a speed advantage over reconfiguring the FPGA itself, and it is In this paper the architecture, previously applied to face image recognition,. 19 Jun 2012 implemented a probabilistic neural network in FPGA hardware which exhibited a parallel architecture. 3 Methodology. 3.1. Object classification. The method of Abstract- Neural networks are widely used in pattern recognition, security applications and robot control. We propose a hardware architecture system; using Tiny Abstract: Neural networks are widely used in pattern recognition, security applications and robot control. We propose a hardware architecture system; using Tiny