By Marrone P.
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Extra resources for Java Object Oriented Neural Engine. The Complete Guide
Serializable interface, so each neural network built with Joone can be saved as a byte stream to be stored in a file system or data base, or be transported to other machines to be used remotely. engine package): the Layer and the Synapse objects. 1 The Layer abstract class The Layer object is the basic element that forms the neural net. The output pattern is sent to a vector of Synapse objects attached to the layer' s output. Runnable interface) so that it can run independently from other layers in the neural net.
5 The Sanger Synapse The SangerSynapse serves to build unsupervisioned neural networks that apply the PCA (Principal Component Analysis) algorithm. The PCA is a well known and widely used technique that permits to extract the most important components from a signal. The Sanger algorithm, in particular, extracts the components in ordered mode – from the most meaningful to the less one – so permitting to separate the noise from the true signal. This components, by reducing the number of input values without diminishing the useful signal, permits to train the network on a given problem reducing considerably the training time.
It permits to write macros in response to any of the events raised by a neural network, permitting to implement whatever behaviour at runtime without the necessity to write and compile java code. 4. The macros are embedded in the neural network, and therefore they are stored/transported along with the neural network at which belong. This is a powerful mechanism capable to transport and remotely run some kind of ‘custom logic’ to control the runtime behaviour of a neural network. The scripting mechanism contains two types of macros: eventdriven and userdriven macros.
Java Object Oriented Neural Engine. The Complete Guide by Marrone P.