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2
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1answer
38 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
24 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
votes
0answers
11 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.
0
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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
209 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 ...
10
votes
1answer
344 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?