Java Object Oriented Neural Engine. The Complete Guide by Marrone P.

By Marrone P.

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By Marrone P.

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Extra info for Java Object Oriented Neural Engine. The Complete Guide

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2. cloneNet() method. 3. The Monitor of the cloned net is set to these values: a. The totCycles parameter is set to 1. b. The validation parameter is set to true. 4. The neural network is interrogated, and the RMSE value is measured. 5. If the RMSE value is less than a desired threshold, the training cycle is stopped, otherwise the cycle continues from the step 1. Steps 2, 3, 4 and 5 can be performed in response to a cycleTerminated event of the trainee neural network.  the training data set is connected to the input layer).

This is one of the most important characteristics of Joone, permitting to build whatever architecture simply gluing together several components. 2 The Output: using the outcome of a neural network The Output components allow a neural network to write output patterns to a whatever storing support. They write all the values of the pattern passed by the calling attached Layer to an output stream, permitting the output patterns from an interrogation phase to be written as, for example, ASCII files, FTP sites, spreadsheets, charting visual components, etc.

Runnable interface) so that it can run independently from other layers in the neural net. setCount(step); fireRevPut(m_pattern); } } // END while (running = false) myThread = null; } The end of the cycle is controlled by the running variable, so the code loops until some ending event occurs.  In the forward method the inherited classes must implement the required formulas of the transfer function, reading the input values from the inps vector and returning the result in the outs vector of doubles.

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