More Work on RVFL Networks
Back in November last year I posted about Random Vector Functional Link (RVFL) networks here and here. Since then, along with my […]
Read moreCategory: Monte Carlo
RVFL Network Results
Having let the tests outlined in my previous post run, I can say that the results are inconclusive as the optimised number […]
Read moreWeight Agnostic Neural Net Training
I have recently come across the idea of weight agnostic neural net training and have implemented a crude version of this combined […]
Read moreThe Ideal Tau for Time Series Embedding?
In my Preliminary Test Results of Time Series Embedding post I got a bit ahead of myself and mistakenly quoted the ideal […]
Read morePreliminary Test Results of Time Series Embedding
Following on from my post yesterday, this post presents some preliminary results from the test I was running while writing yesterday’s post. […]
Read moreTaken's Theorem and Time Series Embedding
I am now back from my summer break and am currently looking at using Taken’s theorem and am using an adapted version […]
Read moreDetermining the Noise Covariance Matrix R for a Kalman Filter
An important part of getting a Kalman filter to work well is tuning the process noise covariance matrix Q and the measurement […]
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