Invention Grant
- Patent Title: Data neural network system and method
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Application No.: US15530345Application Date: 2016-12-28
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Publication No.: US10462039B2Publication Date: 2019-10-29
- Inventor: Samuel Frederick Wood , Samuel Bennett Wood
- Applicant: Samuel Frederick Wood , Samuel Bennett Wood
- Main IPC: H04L12/751
- IPC: H04L12/751 ; H04L12/715 ; H04L12/703 ; H04L12/723 ; G06N3/06 ; H04L12/729 ; H04L12/727 ; H04L12/725 ; H04L12/733

Abstract:
This application discloses a neural network that also functions as a packet data network using an MPLS-type label switching technology. The neural network uses its intelligence to build and manage label switched paths (LSPs) to transport user packets and solve complex mathematical problems. This architecture is well suited to interconnect large numbers of processors or computers into a neural network exhibiting advanced intelligence which can be used for complex activities such as managing the power grid. However, the methods taught here can be applied to other data networks including ad-hoc, mobile, Information Centric, Content Centric, Sensor, and traditional IP packet networks, cell or frame-switched networks, time-slot networks and the like.
Public/Granted literature
- US20170161609A1 Data neural network system and method Public/Granted day:2017-06-08
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