We compare extreme learning machines with cascade correlation on a standard benchmark dataset for#R##N##R##N#comparing cascade networks along with another commonly used dataset. We introduce a number of hybrid#R##N##R##N#cascade extreme learning machine topologies ranging from simple shallow cascade ELM networks to full#R##N##R##N#cascade ELM networks. We found that the simplest cascade topology provided surprising benefit with a#R##N##R##N#cascade correlation style cascade for small extreme learning machine layers. Our full cascade ELM#R##N##R##N#architecture achieved high performance with even a single neuron per ELM cascade, suggesting that our#R##N##R##N#approach may have general utility, though further work needs to be done using more datasets. We suggest#R##N##R##N#extensions of our cascade ELM approach, with the use of network analysis, addition of noise, and#R##N##R##N#unfreezing of weights.
['Tom Gedeon', 'Anthony Oakden']
Extreme Learning Machines with Simple Cascades