Questions tagged [neural-networks]

Network structure inspired by simplified models of biological neurons (brain cells). Neural networks are trained to "learn" by supervised and unsupervised techniques, and can be used to solve optimization problems, approximation problems, classify patterns, and combinations thereof.

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DFAs can be encoded as input/output for a neural network?

I would encode DFAs (Deterministic Finite State automata) as output (or input) of a neural network for a supervised learning; it is well-known [1] that efficacy of neural network training strongly ...
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59 views

Understanding This Graphical Depiction of a Radial-Basis Function Network

Let $f$ be a Radial-Basis Function Network: $$ f(X) = \sum_{i=1}^N a_i p( \lvert \lvert b_i X - c_i \lvert \lvert) $$ From Artificial Intelligence for Human Beings, the following depicts $f$: In ...
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choosing right neural network architecture and input features

As a short example suppose we have a kind of pollution sensor and a jet fan in a tunnel. Jet fan turn on/off according to the automatic scenario based on pollution sensor value. Pollution itself ...
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understanding kohonen self organized feature maps

I was learning self organizing feature maps the other day. I want to intuitively understand it because I'm not that good at math. But I still am not very clear about it. I can easily understand ...
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383 views

Difference between Elman, Hopfield & Hemming Recurrent Neural Networks

What is the main difference between Elman, Hopfield & Hemming Recurrent Neural Networks? Python Neurolab Library examples: Elman Recurrent Neural Network Hopfield Recurrent Neural Network ...
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Reference for Elliptical Basis Function Neural Networks

I found the following assertion in a neural networks FAQ: Radial networks typically have only one hidden layer, but it can be useful to include a linear layer for dimensionality reduction or ...
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145 views

Lattice of a fuzzy number?

Can somebody define what is a fuzzy lattice? How to compute lattice of a fuzzy number? Please try to be generic and basic in the explanation as I'm a beginner in studying fuzzy theory and soft ...
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72 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 ...
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324 views

Backpropagation Through Time Recursive Algorithm

Would it be plausible to write a recursive version of backpropagation through time for recurrent neural network training? I've only found the iterative version: http://en.wikipedia.org/wiki/...
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Is it okay to select the best performers of test cases for scientific publication in neural network machine learning [closed]

If I split my data properly into 75% train, 15% test, and 15% validation, and there are over 100,000 samples, is it appropriate for me to train 100s of neural networks then select only a couple based ...
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Different weight sets for same problem?

Considering the case that we have a fixed set of training examples and a fixed ANN (i.e same number of input,output and intermediate layers). Is it possible that there exists more than one set of ...
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809 views

create a ANN with more than one neuron output

I start to learn artificial neural network and all introduction that I have found on internet present architecture with a number of input variable, so the input layer has the same number of "neurons" ...
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559 views

Are basic CS algorithms used in machine learning?

I have read some articles which state that basic algorithms such as dynamic programming , graph algorithms etc are not required int machine learning fields such as deep learning , reinforcement ...
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924 views

Perceptron learning rule for classification

That's the problem $$y=(x,w,\rho) = \begin{cases} 1 & \sum_{i=1}^3 w_ix_i >\rho\\ 0 & \text{otherwise} \end{cases},$$ where $x=\{x_1,x_2,x_3\}$ are inputs, $w=\{w_1,w_2,w_3\}$ are ...
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396 views

How might neural networks use a symbolic A.I approach?

I’m fairly new to this area so my understanding is pretty basic. Am I correct in saying that symbolic a.i would take data and use logic to search through and find the right answer. An example is a ...
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Is a Neural Network's weight selection dependent on its architecture? [closed]

Would an optimum combination of weights for a given topology necessarily be the the optimum for a different topology ?
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In what way can Google deepdream be extended? Is there an image dataset which can use hallucinations produced? Any deepdream useful application? [closed]

Is there a particular section of image data which when trained on deepdream algorithm and given some input image produce a resulting image from which we can conclude that the deepdream can be used for ...
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Neural Network Design Challenge

i'm studying for PHD Entrance Exam on Stanford. one of previous material exam designed very challenging. i want to design a NN for classifying following 2-class problem. 1) output should be -1 or ...
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Some basic help about Artificial Neural Networks

Firstly, I'd like to state that I do not have any basis to the Neural Networks and I'd like you to recommend me very simple and understandable resources. While I have a home assignment for a short ...
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How a human brain does computation after lexical analysis and parsing?

I've been trying to figure out the answer for this question. How exactly a human brain understands or computes the meaning of any sentence after doing the lexical analysis and parsing? What is the ...

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