learn linux and unix commands - unix shell scripting

Article: Neural Networks on the NetBeans Platform

 
Thread Tools Search this Thread
# 1  
Old 03-02-2011
Article: Neural Networks on the NetBeans Platform

Neuroph Studio is an open source, Java neural network development environment built on top of the NetBeans Platform. This article shows how to create Java neural networks for classification.

More...
Login or Register to Ask a Question

Previous Thread | Next Thread

2 More Discussions You Might Find Interesting

1. Fedora

Installing netbeans

How can I install netbeans on Solaris. Is there a package manager like yum for Fedora. I have tried pkg install netbeans, doesnt find it. Already preformed pkg install slim_install and it installed the jre. However if I run the sh file downloaded for netbeans it says no compatible JDK found. Now... (2 Replies)
Discussion started by: Fingerz
2 Replies

2. HP-UX

netbeans IDE on Hp-UX

Can netbeans IDE be installed and used on hp-ux? Sorry I know this is more java specific but does anybody have any experience with this? There does not seem to be any specific installation or support from netbeans. (0 Replies)
Discussion started by: domestos
0 Replies
Login or Register to Ask a Question
FANN_CREATE_SHORTCUT(3) 						 1						   FANN_CREATE_SHORTCUT(3)

fann_create_shortcut - Creates a standard backpropagation neural network which is not fully connectected and has shortcut connections

SYNOPSIS
reference fann_create_shortcut (int $num_layers, int $num_neurons1, int $num_neurons2, [int $...]) DESCRIPTION
Creates a standard backpropagation neural network, which is not fully connected and which also has shortcut connections. Shortcut connections are connections that skip layers. A fully connected network with shortcut connections, is a network where all neurons are connected to all neurons in later layers. Including direct connections from the input layer to the output layer. PARAMETERS
o $num_layers - The total number of layers including the input and the output layer. o $num_neurons1 - Number of neurons in the first layer. o $num_neurons2 - Number of neurons in the second layer. o $... - Number of neurons in other layers. RETURN VALUES
Returns a neural network resource on success, or FALSE on error. SEE ALSO
fann_create_shortcut_array(3), fann_create_sparse(3), fann_create_standard(3). PHP Documentation Group FANN_CREATE_SHORTCUT(3)