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Description: All aspects of neural networks.
 

Neural networks 
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By Dolly  - Aug 29 - 1 new of 1 message    

Sesitivity anaylsis and its relation to the degree the NN understood and learned the data 
  Hi everyone, in a classification problem when I trained the MLP NN I got 67% overall classifification accuracy, but when I done the sensitivity about the mean for the inputs and observing their effects on the output, I found that only two output classes from 4 output classes that change and is affected greatly with the inputs and the other 2... more »
By enas....@gmail.com  - Aug 28 - 2 new of 2 messages    

<> MultiAgent Systems <> 
  ...Yes, at firts it seems confusing. But the final goal is to achieve an optimal system outputs for certain applications through the process of Multiagent communication, coordination, negotiation, processing, etc., and the Evolutionary Algorithms can satisfy the final endeavors... ...Besides tuning the Multiagent System (MAS) parameters, we can optimize... more »
By Dr. Tuan T. Ho  - Aug 28 - 1 new of 1 message    

Are Growing neural networks supported with our toolbox 
  Hi, I have had a customer visit last we´where one person asked me if our neural network toolbox supports growing neural networks. As far as I have understood there types of neural networks where the topology grows during the training phase, so not only weights are modified during training. He gave me some papers about "A growing neural gas network learns topology"... more »
By Gernot Schraberger  - Aug 27 - 3 new of 3 messages    

<> Multiagent Complex Adaptive Systems <> 
  Greetings! What is the best and easiest way to design the process of communication, coordination, negotiation, controls, etc. for the Multiagent Systems (MAS)? I've used the Genetic/Evolutionary Algorithms for this process before, and it worked out great for several applications. I thought about using the Simplex and Simulated... more »
By Dr. Tuan T. Ho  - Aug 26 - 1 new of 1 message    

how to weight classes? 
  dear all, please help, ( be patient for my details) I'm training MLP network for classification purpose. the problem definition is scheduling Job shop problems I create 6 X 6 job shop problems(6 machines, 6 jobs each jobs has 6 operations to be done) and restricted that process time is within range of 1 to 10 time... more »
By enas....@gmail.com  - Aug 26 - 1 new of 1 message    

forecasting:validation set 
  hi folks, i am doing forecasting using neural network. i have some confusion.suppose, in my training set, i give 2D input x(t-1) and x(t-2) and my desired response is x(t). My question is how can I make sure that my output is coming x(t) if I will give input x(t-1) and x(t-2)? Another question please. for checking this network with the validation... more »
By ashraf.p...@gmail.com  - Aug 26 - 6 new of 6 messages    

rate of convergence of RBF on solvling one dimesnsion heat equation 
  Hi guys. Does anyone know about rate of convergence of RBF on solvling one dimesnsion heat equation with a smooth initial input functon? Thanks! Cheers Ron
By ronarld.chan@googlemail.c om  - Aug 25 - 2 new of 2 messages    

pushpa 
  [link]
By pushpa  - Aug 25 - 2 new of 2 messages    

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By stephenbailey...@gmail.com  - Aug 23 - 1 new of 1 message    

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