This a general overview of how a time delay network data flow would work. Note that I've ommited the actual weight calculations/tuning etc. and I've generally skipped the hidden layer calculations and shown only a 2X time delay. In theory you can show X time delays b
Red are the current set of inputs
Blue are the outputs from the previous evaluation
Green are the outputs from the run before that. etc. etc.
Genetic Algorithm based feed forward neural network for probability and predictive analysis of large data sets.
I’ve been working on AI related systems for 10 years with expert systems and genetic algorithms. I’ve recently gotten more interested in their application to neural networks and statistical analysis capabilities.