joone-engine-1.1.2.zip_joone_joone-engine_joone-engine.jar_神经网络

XOR.java -------- This example shows how to use Joone core engine writing Java code. Read the Developer Guide to learn in details how does work its source code. To runnit: java -cp joone-engine.jar org.joone.samples.xor.XOR <inputFile> <errorFile> where <inputFile> is the input file name (with its complete path) that contains the XOR truth table (xor.txt) <errorFile> is the output file name (with its complete path) that will contain the error values of the net XORMemory.java -------------- Sample class to demostrate the use of the MemoryInputSynapse class to train the net with the patterns contained in a 2D array of doubles. To runnit: java -cp joone-engine.jar org.joone.samples.xor.XORMemory EmbeddedXOR.java ---------------- This example shows the use of a neural network embedded in another application that gets the output from the MemoryOutputSynapse class giving to the net a set of predefined input patterns using the MemoryInputSynapse class. To runnit: java -cp joone-engine.jar org.joone.samples.xor.EmbeddedXOR.java xor.snet where xor.snet is a serialized XOR neural network (i.e. obtained from the GUI editor with File->Export menu item) ImmediateEmbeddedXOR.java ------------------------- This example shows the use of a neural network embedded in another application that gets the output from the MemoryOutputSynapse class giving to the net only one input patterns each time, using the DirectSynapse class. To runnit: java -cp joone-engine.jar org.joone.samples.xor.ImmediateEmbeddedXOR.java xor.snet where xor.snet is a serialized XOR neural network (i.e. obtained from the GUI editor with File->Export menu item)