HARDWARE ENHANCEMENTS TO RADIAL BASIS FUNCTION WITH RESTRICTED COULOMB ENERGY LEARNING AND/OR K-NEAREST NEIGHBOR BASED NEURAL NETWORK CLASSIFIERS

摘要

A nonlinear neuron classifier comprising a neuron array including a plurality of neuron chips each including a plurality of neurons of variable length and variable depth, the chips processing input vectors of variable length and variable depth that are input into the classifier for comparison against vectors stored in the classifier, wherein an NSP flag is set for a plurality of the neurons to indicate that only that plurality of neurons is to participate in the vector calculations. A virtual content addressable memory flag is set for certain of the neuron chips to enable functions including fast readout of data from the chips. Results of vector calculations are aggregated for fast readout for a host computer interfacing with the classifier.

主权项

1. A nonlinear neuron classifier comprising:
a neuron array that comprises a plurality of neurons that have variable component length and variable depth, and that processes an input vector of variable component length and variable component depth that is input into the classifier for comparison against vectors stored in the classifier; a system bus interface configured to detect and capture the input vector; logic that is connected in parallel to individual neurons in the classifier and that broadcasts the input vector concurrently to neurons that store vectors of similar component length and depth, for vector calculations; and storage configured as an internal status that accessible by hardware external to the classifier, the status and results table comprising a combination of registers of varied length configured to store each of the plurality of neurons relating to at least one context.