Package org.neuroph.samples

Provides some basic examples of how to use Neuroph.

See: Description

Class Summary

Class	Description
BufferedDataSetSample
FileIOSample	This sample shows how to read from and write to external data sources using Neuroph file IO adapters.
HopfieldSample	This sample shows how to create and train Hopfield neural network
IrisClassificationSample	This sample shows how to train MultiLayerPerceptron neural network for iris classification problem using Neuroph For more details about training process, error, iterations use NeurophStudio which provides rich environment for training and inspecting neural networks
JDBCSample	This sample shows hot to read network input and write network output to database using Neuroph JDBC adapaters.
NormalizationSample	This sample shows how to do data normalization in Neuroph.
PerceptronSample	This sample shows how to create, train, save and load simple Perceptron neural network
RandomizationSample	This sample shows how to use various weight randomization techniques in Neuroph.
RBFClassificationSample	TODO: use k-nearest neighbour to tweak sigma
XorMultiLayerPerceptronSample	This sample shows how to create, train, save and load simple Multi Layer Perceptron for the XOR problem.
XorResilientPropagationSample	This sample trains Multi Layer Perceptron network using Resilient Propagation learning rule for the XOR problem.

Package org.neuroph.samples Description

Provides some basic examples of how to use Neuroph.