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hoWWWlite - neural network simulatorhowlite is an artificial neural network simulator especially designed to handle symbol sequences. The input to the network takes the form of single letter symbol strings - typically representing amino acids or nucleotides in biological sequences - while symbols in the output represent categories assigned to each single input symbol. The output categories will most often symbolize structural or functional aspects of the monomers in the linear input sequence. Before the neural network is created and run, howlite reads a number of run-time parameters from the table below. These parameters control the architecture of the neural network, many aspects of the training process, the number of sequences used for training and testing, file names for additional input and output produced by the program, and the complexity and detail of the output delivered by the program. Click here for detailed instructions. CUSTOMIZE YOUR RUN Select the values of the run-time parameters and click on the 'Run' button below. Click on the description of each parameter for more information. |
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