LMSEFFNet.h File Reference

Offers the functions to create and to work with a feed-forward network with explicit defined neuron-to-bias connections. The network is combined with the mean squared error measure. This combination is created due to computational efficiency. More...

#include "ReClaM/MSEFFNet.h"

Go to the source code of this file.

Classes

class LMSEFFNet

Offers the functions to create and to work with a feed-forward network with explicit defined neuron-to-bias connections. The network is combined with the mean squared error measure. This combination is created due to computational efficiency. More...

Detailed Description

Author:: C. Igel

Date:: 1999

Copyright (c) 1999-2001:: Institut für Neuroinformatik
Ruhr-Universität Bochum
D-44780 Bochum, Germany
Phone: +49-234-32-25558
Fax: +49-234-32-14209
eMail: Shark-admin@neuroinformatik.ruhr-uni-bochum.de
www: http://www.neuroinformatik.ruhr-uni-bochum.de

Project:: ReClaM

This file is part of ReClaM. This library is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2, or (at your option) any later version.

This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this library; if not, write to the Free Software Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.

Definition in file LMSEFFNet.h.


Classes
class	LMSEFFNet
	Offers the functions to create and to work with a feed-forward network with explicit defined neuron-to-bias connections. The network is combined with the mean squared error measure. This combination is created due to computational efficiency. More...