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

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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools  
 
|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools  
 
}}
 
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[http://www.youtube.com/results?search_query=General+Regression+Neural+Network+GRNN YouTube search...]
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[https://www.youtube.com/results?search_query=General+Regression+Neural+Network+GRNN YouTube search...]
[http://www.google.com/search?q=General+Regression+GRNN+machine+learning+ML+artificial+intelligence ...Google search]
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[https://www.google.com/search?q=General+Regression+GRNN+machine+learning+ML+artificial+intelligence ...Google search]
  
 
* [[AI Solver]]
 
* [[AI Solver]]
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* [[Regression]] Analysis
 
* [[Regression]] Analysis
 
* [[Math for Intelligence]]
 
* [[Math for Intelligence]]
* [http://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/neural-network-regression Neural Network Regression | Microsoft]
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* [https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/neural-network-regression Neural Network Regression | Microsoft]
* [http://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://www.quora.com/When-should-we-use-logistic-regression-and-Neural-Network When should we use logistic regression and Neural Network? | Sebastian Raschka]
* [http://en.wikipedia.org/wiki/General_regression_neural_network General regression neural network | Wikipedia]
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* [https://en.wikipedia.org/wiki/General_regression_neural_network General regression neural network | Wikipedia]
  
 
The simplest neural network performs least squares regression - single-layer neural network, with a single node that uses a linear activation function
 
The simplest neural network performs least squares regression - single-layer neural network, with a single node that uses a linear activation function

Revision as of 14:33, 28 March 2023