Radek

SGGW Warsaw

Last seen: 12개월 전 | 2015년부터 활동

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Professional Interests: genetic algorithm, friction welding, optimiation

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How chromosome in Genetic Algorithms Toolbox works in detailed
Hello, I need answers about constitution of the chromosomes, their length, coding of chromosome in detail, crossover and mutati...

8년 초과 전 | 답변 수: 1 | 0

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Chromosome length and coding in Genetic Algoritms Toolbox
Hello, I solved opimisation task in GAToolbox using default setting and double vector option. Currently I would like to know H...

8년 초과 전 | 답변 수: 0 | 0

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Does weights and bias received from ANN are also normalized???
I have gained the weights and bias from ANN and inserted them into a simple mathematical formulea function derived from the ANN ...

거의 9년 전 | 답변 수: 1 | 1

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Coding ANN learning parameters (e.g number of hidden neurons, learning methods, learning rate, momentum, number of epoch) in Genetic Algorithm chromosome?
how I can code of ANN learning parameters (e.g number of hidden neurons, learning methods, learning rate, momentum, number of ep...

대략 9년 전 | 답변 수: 1 | 0

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Levenberg-Marquardt need info What assume range of parameters??
I need the *range of parameters*(bounds) for training using LM. These bounds I will use to genetic algorithm optimization these ...

9년 초과 전 | 답변 수: 0 | 0

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How view the results R2 between experimental and predicted values ?
if possible also how view eerors for these results? Thanks

9년 초과 전 | 0

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How view the results R2 between experimental and predicted values ?
Hovewer I need code to view R2 to my 3 outputs? Thanks

9년 초과 전 | 답변 수: 1 | 0

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How the after normalization inputs and outputs obtain the actual values needed to optimize
NN automatic normalised inputs and outputs according to scheme y=(ymax-ymin)*(x-zmin)/(xmax-xmin)+ymin .So In order to obtain r...

9년 초과 전 | 답변 수: 0 | 0

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How to do regression between three inputs (x1, x2 and x3) and one outputs (y) using Curve Fitting?
Many thanks

9년 초과 전 | 0

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If possible in neural networks turn off automatic data normalization?
If possible in neural networks turn off automatic data normalization?

9년 초과 전 | 답변 수: 1 | 0

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How to do regression between three inputs (x1, x2 and x3) and one outputs (y) using Curve Fitting?
How to do regression between three inputs (x1, x2 and x3) and one outputs (y) using Curve Fitting? The Cuve fittinng show only ...

9년 초과 전 | 답변 수: 2 | 0

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How are normalize the inputs and outputs in Neural Networks in Matlab (in mathematical form or code please)?
How are normalize the inputs and outputs in Neural Networks in Matlab (in mathematical form or code please)?

9년 초과 전 | 답변 수: 1 | 0

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If possible generate the outputs structure of the NN in mathematical form? please, give me code how do it?
If possible generate the outputs structure of the NN in mathematical form? please, give me code how do it?

9년 초과 전 | 답변 수: 0 | 0

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How write mathematically the output signal of the structure NN for XOR problem?. My NN has 3 input, 6 hidden layer and 1 output.?? I have also the biasess and weights
How write mathematically the output signal of the structure NN for XOR problem?. My NN has 3 input, 6 hidden layer and 1 output....

9년 초과 전 | 답변 수: 0 | 0

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How I get normalized values for inputs and outputs in Neural Networks, please give me simple example or equation How do it?
How I get normalized values for inputs and outputs in Neural Networks, please give me simple example or equation How do it?

9년 초과 전 | 답변 수: 1 | 0

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How do I find the regression coefficients (multiple) for quadratic polynomial equation using a genetic algorithm? Please show a simple example codes
How do I find the multiple regression coefficients for e.g. quadratic polynomial equation using a Genetic Algorithm? Please show...

9년 초과 전 | 답변 수: 0 | 0

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How do I see the weight and biases variables in neural networks, please show me on simple example code?
How do I see the weight and biases variables in neural networks, please show me on simple example code?

9년 초과 전 | 답변 수: 3 | 1

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