Implement a 2-input 3-unit Backpropagation network for different activation functions on excel (Neural networks)

Imebatilisha Ilichapishwa Miaka 4 iliyopita Kulipwa wakati wa kujifungua
Imebatilisha Kulipwa wakati wa kujifungua

Implement a 2-input 3-unit Backpropagation network on excel for 11 activation functions

Table 2a contains a training set, Table 2b a validation set and Table 2c a test set.

Your experiments must include the following:

a) Learning rates of 0.05, .1, .25, .5, .75 and 1.0.

b) Five replications for each set of learning rates, using different randomly selected initial

values for all of the weights.

c) Plots of sum of square errors after 0, 1, 10, 100, 1000 and 10000 epochs. Use log

scales for both x (number of epochs) and y (sum of errors) axes.

Excel template will be given

Algorithm Excel Matlab na Mathematica Neural Networks Java

Kitambulisho cha Mradi: #24744286

Kuhusu mradi

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rinabuoy13

Hello, I am an independent, experienced ML expert. I can help with this task with a quick turn-around. Looking to hearing from you. Kind regards Rina B.

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marcelomedre

hi, I can help you with this project. I have already worked with ANN including scientific publications.

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pawansaini14feb5

Please see this proposal and consider the same

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