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Important features for upcoming Encog versions? (these are the ones that are on my mind at the moment)

Submitted by jeffheaton on Thu, 01/19/2012 - 09:40

OpenCL/CUDA/GPU Training that actually speeds things up

Advanced SQL integration for both networks(and other ml method) and data

Grid support (train using multiple computers)

Direct integration with Encog/Encog Workbench and Ninja Trader/MTx/others

More Machine Learning Methods (Decision Trees, Random Forest, etc)

More training methods (i.e. cascade, ant colony, bee hive, etc)

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Important features for upcoming Encog versions? (these are the ones that are on my mind at the moment):

OpenCL/CUDA/GPU Training that actually speeds things up

Advanced SQL integration for both networks(and other ml method) and data

Grid support (train using multiple computers)

Direct integration with Encog/Encog Workbench and Ninja Trader/MTx/others

More Machine Learning Methods (Decision Trees, Random Forest, etc)

More training methods (i.e. cascade, ant colony, bee hive, etc)

Encog Live with dukascopy (java)
NeuralGeneticAlgorithm, problem with TestGenetic test method
time dependent directional profit (TDDP) error function
Drawbacks to serializing the trainer with the network?
Copy neural networks
Stochastic gradient descent
quant class/function details
c++ port of encog
Looking for contractors to work with us on a financial Neural Network with Encog
NEAT vs Basic Genetic