I was wondering: in a multi-layer feed-forward ne开发者_开发问答ural network should the input layer include a bias neuron, or this is just useful in hidden layers? If so, why?No, an input layer doesn\
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Actually these are 3 questions: Which optimization algorithm should I use to optimize the weights of a multilayer perceptron, if I knew...
I want to make a model which predicts the future response of the input signal, the architecture of my network is [3, 5, 1]:
I am moving my first steps in neural networks and to do so I am experimenting with a very simple single layer, single output perceptron which uses a sigmoidal activation function. I am updating my wei
I am doing work on time series data prediction. The input signal is the daily concentration of dust particles in the air and having format (10x24), 10 =days and for each day 24 values, then it is co
I want to implement this function as the error function for training a neural network: function err = MyErrorFunction(T,O)
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I\'m using the SOM Toolbox to analyze data collected from a database of cars. My problem is when visualizing the Unified Distance Matrix. Quoting the documentation for som_umat:
I am planning to use neural networks for approximating a value function in a reinforcement learning algorithm. I want to do that to introduce some generalization and flexibility on how I represent sta
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