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Magnus Norgaard

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14 Apr 2003 nnctrl The NNCTRL toolkit is a set of tools for design and simulation of neural network based control syste Author: Magnus Norgaard neural networks, inverse control, systems, nonlinear control, fuzzy logic, predictiv 23 9
  • 3.31579
3.3 | 19 ratings
14 Apr 2003 Screenshot nnsysid The NNSYSID toolbox contains a number of tools for identification of nonlinear dynamic systems with Author: Magnus Norgaard fuzzy logic, neural networks, system, identfication, nonlinear 23 16
  • 4.05263
4.1 | 20 ratings
Comments and Ratings on Magnus' Files View all
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11 Oct 2011 nnctrl The NNCTRL toolkit is a set of tools for design and simulation of neural network based control syste Author: Magnus Norgaard Ali, Elsayed Hassan

this files very imprtant

09 Oct 2011 nnsysid The NNSYSID toolbox contains a number of tools for identification of nonlinear dynamic systems with Author: Magnus Norgaard Smart, Mr
25 Jul 2011 nnsysid The NNSYSID toolbox contains a number of tools for identification of nonlinear dynamic systems with Author: Magnus Norgaard Amir

I have a problem in running the toolbox nnsysid. Actually I got the following messeges,If anyone knows the answer, then I would appreciate.

[w1,w2] = wrescale('nnoe',W1,W2,uscales,yscales,NN);
>> [thd,trv,fpev,tev,deff,pv] = ...
nnprune('nnoe',NetDef,W1,W2,u1s,y1s,NN,trparms,prparms,u2s,y2s);
Warning: Matrix is close to singular or badly scaled.
         Results may be inaccurate. RCOND = 1.639375e-016.
> In nnprune at 372

Network training started.

iteration # 1 W = 5.571e-002
iteration # 2 W = 4.712e-002
iteration # 3 W = 4.314e-002
iteration # 4 W = 3.508e-002
iteration # 5 W = 3.186e-002
iteration # 6 W = 2.975e-002
iteration # 7 W = 2.947e-002
iteration # 8 W = 2.904e-002
iteration # 9 W = 2.889e-002
iteration # 10 W = 2.883e-002
iteration # 11 W = 2.880e-002
iteration # 12 W = 2.869e-002
iteration # 13 W = 2.864e-002
iteration # 14 W = 2.863e-002
iteration # 15 W = 2.862e-002
iteration # 16 W = 2.859e-002
iteration # 17 W = 2.858e-002
iteration # 18 W = 2.855e-002
iteration # 19 W = 2.855e-002
iteration # 20 W = 2.853e-002
iteration # 21 W = 2.853e-002
iteration # 22 W = 2.852e-002
iteration # 23 W = 2.851e-002
iteration # 24 W = 2.850e-002
iteration # 25 W = 2.850e-002
iteration # 26 W = 2.849e-002
iteration # 27 W = 2.849e-002
iteration # 28 W = 2.849e-002
iteration # 29 W = 2.848e-002
iteration # 30 W = 2.848e-002
iteration # 31 W = 2.848e-002
iteration # 32 W = 2.848e-002
iteration # 33 W = 2.848e-002
iteration # 34 W = 2.847e-002
iteration # 35 W = 2.847e-002
iteration # 36 W = 2.847e-002
iteration # 37 W = 2.847e-002
iteration # 38 W = 2.846e-002
iteration # 39 W = 2.846e-002
iteration # 40 W = 2.846e-002
iteration # 41 W = 2.845e-002
iteration # 42 W = 2.845e-002
iteration # 43 W = 2.845e-002
iteration # 44 W = 2.845e-002
iteration # 45 W = 2.844e-002
iteration # 46 W = 2.844e-002
iteration # 47 W = 2.844e-002
iteration # 48 W = 2.844e-002
iteration # 49 W = 2.844e-002
iteration # 50 W = 2.843e-002

Network training ended.

Network training started.

??? Error using ==> nnoe
AN ERROR OCCURED IN A CMEX-PROGRAM

Error in ==> nnprune at 257
     [W1,W2,dummy1,dummy2,dummy3] = nnoe(NetDef,NN,W1,W2,trparmsp,Y,U);
 

13 May 2008 nnctrl The NNCTRL toolkit is a set of tools for design and simulation of neural network based control syste Author: Magnus Norgaard Firman, Nanang
18 Feb 2008 nnsysid The NNSYSID toolbox contains a number of tools for identification of nonlinear dynamic systems with Author: Magnus Norgaard Mangindaan, glanny

This tool is Good.

Top Tags Applied by Magnus
fuzzy logic, neural networks, identfication, inverse control, nonlinear
Files Tagged by Magnus View all
Updated   File Tags Downloads
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14 Apr 2003 nnctrl The NNCTRL toolkit is a set of tools for design and simulation of neural network based control syste Author: Magnus Norgaard neural networks, inverse control, systems, nonlinear control, fuzzy logic, predictiv 23 9
  • 3.31579
3.3 | 19 ratings
14 Apr 2003 Screenshot nnsysid The NNSYSID toolbox contains a number of tools for identification of nonlinear dynamic systems with Author: Magnus Norgaard fuzzy logic, neural networks, system, identfication, nonlinear 23 16
  • 4.05263
4.1 | 20 ratings

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