org.neuroph.util.benchmark

Class MyBenchmarkTask

java.lang.Object

org.neuroph.util.benchmark.BenchmarkTask

org.neuroph.util.benchmark.MyBenchmarkTask

public class MyBenchmarkTask
extends BenchmarkTask

This class is example of custom benchmarking task for Multi Layer Perceptorn network Note that this benchmark only measures the speed at implementation level - the speed of data flow forward and backward through network

Author:

Zoran Sevarac

Constructor Summary

Constructors

Constructor and Description
MyBenchmarkTask(String name)

Method Summary

Modifier and Type	Method and Description
void	prepareTest() Benchmrk preparation consists of training set and neural networ creatiion.
void	runTest() This method should hold the code to benchmark

Methods inherited from class org.neuroph.util.benchmark.BenchmarkTask

getName, getTestIterations, getWarmupIterations, setName, setTestIterations, setWarmupIterations

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

MyBenchmarkTask

public MyBenchmarkTask(String name)

Method Detail

prepareTest

public void prepareTest()

Benchmrk preparation consists of training set and neural networ creatiion. This method generates training set with 100 rows, where every row has 10 input and 5 output elements Neural network has two hiddden layers with 8 and 7 neurons, and runs learning rule for 2000 iterations

Specified by:

prepareTest in class BenchmarkTask

runTest

public void runTest()

Description copied from class: BenchmarkTask

This method should hold the code to benchmark

Specified by:

runTest in class BenchmarkTask