Re: 3D plot of error function of neural network
- To: mathgroup at smc.vnet.net
- Subject: [mg42402] Re: 3D plot of error function of neural network
- From: "AngleWyrm" <no_spam_anglewyrm at hotmail.com>
- Date: Sat, 5 Jul 2003 03:10:50 -0400 (EDT)
- References: <bdefm2$dl6$1@smc.vnet.net>
- Sender: owner-wri-mathgroup at wolfram.com
"Bastian" <baspo at web.de> wrote in message news:bdefm2$dl6$1 at smc.vnet.net... > Therefore I need a function which produces a 3D plot like a > uncoordinated function without any jumps, but unfortunately I've tried > some functions without a "good" results. What kind of network is this to be? Is it going to be a Supervised Learning algorithm (like backpropogation of error) or is it to be an unsupervised algorithm (like Self-Organized Map)? If you are modelling using perceptrons, then the basic formula is Sum( inputN x weightN) for all N inputs. Make sense?