Abstract
An artificial neural network (ANN) is a parallel, distributed processing system consisting of a large number of interconnected neurons. At present, artificial neural networks have been widely used in signal processing, automation, control systems, image recognition and many other fields. Usually, the realization of neural networks is based on software. However, because the software implementation method cannot achieve real-time calculation in many cases, the hardware implementation method can reflect the inherent parallel processing characteristics of neural networks. This paper proposes an ANN neural network field programmable neuron array based on the design of reusable ANN artificial neural network IP core. It not only can save a lot of hardware resources and improve processing speed, but also has a rapid development cycle and good reconfigurability and other advantages.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
