Cascade-forward neural network

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EdWood
EdWood 2016-10-7
评论： Christoph Thale 2019-4-25
I was trying to find purpose of cascade-forward neural network and didn't find anyresonable sources. Can anyone explain advantages and disadvantages of using this type of network instead of classic feedforward neural network?

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采纳的回答

Greg Heath
Greg Heath 2016-10-14
You are right.
Despite the name, these are not the same network.
Greg
  1 个评论
Ekta Prashnani
Ekta Prashnani 2017-5-31
So, what is exactly the purpose of the cascade network? Its not the same as cascade correlation network and it seems to be distinct from classic feedforward network as well. Can you please explain?

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更多回答（1 个）

Greg Heath
Greg Heath 2016-10-8
编辑：Greg Heath 2017-5-31
If you had searched GOOGLE with
CASCADE CORRELATION NEURAL NETWORK
YOU WOULD HAVE FOUND
http://scholar.google.com/scholar?q=cascade+correlation+
neural+network&hl=en&as_sdt=0&as_vis=1&oi=scholart&sa=
X&sqi=2&ved=0ahUKEwjr2MSEpcrPAhWKNT4KHfAECx8QgQMIGjAA
Hope this helps.
THANK YOU FOR FORMALLY ACCEPTING MY ANSWER
Greg
  2 个评论
EdWood
EdWood 2016-10-8
编辑：EdWood 2016-10-8
I had searched Google and found Cascade correlation network, but I wasn't sure if it's the same as Cascade-forward network in MATLAB. For Cascade correlation network I found this definition: We add hidden units to the network one by one. Each new unit therefore adds a new one-unit "layer" to the network, unless some of its incoming weights happen to be zero. This is confused me beacuse when I run Cascade network in MATLAB it was look like there is 10 neurons from beggining for example and I wasn't sure if it's the maximum of neurons only and it's really adding one by one during learning or there is 10 fixed neurons from beggining. If you say it's Cascade correlation network then it shoud be add one by one, right?
Christoph Thale
Christoph Thale 2019-4-25
You are right. The Cascade Correlation is a method where we add perceptrons one by one. So we start very small and end up bigger. We stop there, where the net performs best.

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