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2
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1answer
33 views

Predicting next action to take to reach a final state

Does anyone know of an algorithm that could be used to determine the next action to take to reach a desired state when trained on time-series data? For example, a robot starts at a certain state, ...
2
votes
1answer
22 views

Determining if my artificial neural network needs additional layers

I have implemented a neural network for load forecasting in Microsoft Excel. My structure is very simplistic and involves only 1 hidden layer and 4 neurons. (See picture) I trained my network with ...
0
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0answers
9 views

Is it possible to retrieve element in a matrix which was trained using Neural Network?

I just studied neural networks and know the basics. Problem: A matrix is trained using neural network (by giving position of an element and the element) One should get the element at (i,j)th position ...
0
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0answers
14 views

Memory storage capacity of Bienenstock-Cooper-Munro rule

I would like to know the memory storage capacity of the BCM learning rule when it is implemented on a Hopfield network. I understand that it will be a function of n where n is the number of neurons.
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0answers
61 views

Where to start studying about HTM?

I am looking for references (pedagogic and beginner friendly!) to these two topics, hierarchical temporal memory algorithms applied to deep planning problems (multi-layer) neural networks trained ...
1
vote
1answer
197 views

What factors must one consider choosing an NN structure?

Suppose we have a classification problem and we wish to solve the problem by Neural Network. What factors must one consider choosing an NN structure? e.g Feed Forward, Recurrent and other available ...
9
votes
1answer
326 views

How many layers should a neural network have?

Are there any advantages of having more than 2 hidden layers in a Neural Network? I've seen some places that recommend it, others prove that there is no advantage. Which one is right?