Differrence between feed forward & feed forward back propagation

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omar belhaj
omar belhaj el 18 de Feb. de 2015
Comentada: YERRUPALLI GANESH el 19 de Dic. de 2020
I used neural netowrk MLP type to pridect solar irradiance, in my code i used fitnet() commands (feed forward)to creat a neural network.But some people use a newff() commands (feed forward back propagation) to creat their neural network. please what's difference between two types?? :
net=fitnet(Nubmer of nodes in haidden layer); --> it's a feed forward ?? true??
net=newff(Nubmer of nodes in haidden layer); ---> it's a feed forward back propagation ??
Help me please wchich one can i choose for my case (prediction problem)???!!! Who appripriate??
Best regards
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YERRUPALLI GANESH
YERRUPALLI GANESH el 19 de Dic. de 2020
Difference between levenberg matquardt and feed forward backpropagation algorithm

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Greg Heath
Greg Heath el 18 de Feb. de 2015
Editada: Greg Heath el 22 de Feb. de 2015
1. Regardless of how it is trained, the signals in a feedforward network flow in one direction: from input, through successive hidden layers, to the output.
2. Given a trained feedforward network, it is IMPOSSIBLE to tell how it was trained (e.g., genetic, backpropagation or trial and error)
3. A feedforward backpropagation net is a net that just happened to be trained with a backpropagation training algorithm. The backpropagation training algorithm subtracts the training output from the target (desired answer) to obtain the error signal. It then goes BACK to adjust the weights and biases in the input and hidden layers to reduce the error.
4. Current examples of feedforward nets are
a. FITNET for regression and curve-fitting which calls the generic FEEDFORWARDNET
b. PATTERNNET for classification and pattern-recognition which calls the generic FEEDFORWARDNET
c. FEEDFORWARDNET
5. OBSOLETE examples of feedforward nets are
a. NEWFIT for regression and curve-fitting which calls the generic NEWFF
b. NEWPR for classification and pattern-recognition which calls the generic NEWFF
c. NEWFF
6. The default training functions for the above algorithms use backpropagation. However, the designer can train the nets any way they want.
7. The Neural Network Toolbox does not offer a genetic algorithm (GA). However, there are posts to the NEWSGROUP and ANSWERS regarding training with a GA
SEARCH WORDS NEWSGROUP HITS ANSWERS HITS
NEURAL GA 69 39
NEURAL GENETIC 132 56
8. None of the above are recommended for timeseries forecasting. The CURRENT timeseries forecasting algorithms are
a. TIMEDELAYNET: Feedforward net with output that only depends on current and past inputs
b. NARNET: Feedback net with output that only depends on past outputs
c. NARXNET: Feedback net with output that depends on BOTH past outputs as well as current and past inputs
Hope this helps.
Thank you for formally accepting my answer
Greg
P.S. Online documentation for any function can be obtained using the commands help, doc and type. For example
help fitnet
doc fitnet
type fitnet
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omar belhaj
omar belhaj el 24 de Feb. de 2015
So please i will just to know fitnet() and feedforwardnet() are the similar commands to create the neueral networks?? because i found a lot of researches use feedforwardnet() instead fitnet()for prediction issues !!!!
Greg Heath
Greg Heath el 5 de Abr. de 2015
Editada: Greg Heath el 5 de Abr. de 2015
Although both FITNET and PATTERNNET call FEEDFORWARDNET, each have different defaults w.r.t. their specific function, i.e., regression/curve-fitting vs classification/pattern-recognition.
So, just use FITNET and PATTERNNET.

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Más respuestas (2)

khan
khan el 18 de Feb. de 2015
what you said it suggest that the new function have both forward and backward propagation in the same function. Where is the old have only forward pass. You should right click and select help on each of them and you will see.
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omar belhaj
omar belhaj el 18 de Feb. de 2015
I ask whcich one is appropraite to use for forecasting ?? whcich the best ??
Greg Heath
Greg Heath el 5 de Abr. de 2015
@Khan
No. the new functions are just revised versions of the old ones. If you use the commands DOC, HELP, and/or TYPE, you will see that NEWFIT, NEWPR and NEWFF are OBSOLETE and as such, will no longer be maintained by MATLAB.
@omar:
For forecasting/predicting the future, use TIMEDELAYNET(only inputs), NARNET(only output feedback) or NARXNET(both inputs and output feedback). Again, use DOC, HELP, and/or TYPE for details.
Greg

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Shireen Shah
Shireen Shah el 29 de Mayo de 2018
can you please tell me which command(newff or feedforwardnet) is good choice to be used for channel estimation in OFDM using neural networks?
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Greg Heath
Greg Heath el 21 de Oct. de 2018
Use
FITNET for regression
and
PATTERNNET for classification
Both are special cases of FEEDFORWARDNET.
Corresponding NEWFIT, NEWPR and NEWFF are obsolete and have been replaced by the above.

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