Difference between revisions of "General Regression Neural Network (GRNN)"

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[http://www.youtube.com/results?search_query=Neural+Network+Regression YouTube search...]
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* [[AI Solver]]
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* [[...predict values]]
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* [[Capabilities]]
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* [http://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/neural-network-regression Neural Network Regression | Microsoft]
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Recently, several studies on calibrating traffic flow models have been undertaken using support vector regression (SVR). For me, the method seems to be a bit counter-intuitive. Rather than the sum of the squared errors, the sum of squared prefactors of the model function is minimized. However, this seems to have nothing to do with the fit quality itself. The fit quality enters only indirectly in form of some constraints, and small deviations are not penalized at all. Furthermore, you obtain a sort of black-box model which is lengthy to write down explicitly and which cannot be understood intuitively. Under which circumstances, the SVR should nevertheless be preferred to an ordinary LSE minimization? - Martin Treiber
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[https://www.youtube.com/results?search_query=General+Regression+Neural+Network+GRNN YouTube search...]
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[https://www.google.com/search?q=General+Regression+GRNN+machine+learning+ML+artificial+intelligence ...Google search]
  
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* [[AI Solver]] ... [[Algorithms]] ... [[Algorithm Administration|Administration]] ... [[Model Search]] ... [[Discriminative vs. Generative]] ... [[Train, Validate, and Test]]
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** [[...predict values]]
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* [[Regression]] Analysis
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* [[Math for Intelligence]] ... [[Finding Paul Revere]] ... [[Social Network Analysis (SNA)]] ... [[Dot Product]] ... [[Kernel Trick]]
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* [https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/neural-network-regression Neural Network Regression | Microsoft]
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* [https://www.quora.com/When-should-we-use-logistic-regression-and-Neural-Network When should we use logistic regression and Neural Network? | Sebastian Raschka]
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* [https://en.wikipedia.org/wiki/General_regression_neural_network General regression neural network | Wikipedia]
  
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http://research.ncku.edu.tw/re/articles/e/20080620/images/080526035813E4MDyJ.gif
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The simplest neural network performs least squares regression - single-layer neural network, with a single node that uses a linear activation function
  
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https://www.researchgate.net/profile/Payam_Hanafizadeh/publication/277307360/figure/fig1/AS:294315550101505@1447181703557/Generalized-regression-neural-network-GRNN.png
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Latest revision as of 21:51, 5 March 2024

YouTube search... ...Google search

The simplest neural network performs least squares regression - single-layer neural network, with a single node that uses a linear activation function

Generalized-regression-neural-network-GRNN.png

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