Difference between revisions of "General Regression Neural Network (GRNN)"
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** [[...predict values]] | ** [[...predict values]] | ||
* [[Regression]] Analysis | * [[Regression]] Analysis | ||
| − | * [[Math for Intelligence]] ... [[Finding Paul Revere]] | + | * [[Math for Intelligence]] ... [[Finding Paul Revere]] ... [[Social Network Analysis (SNA)]] ... [[Dot Product]] ... [[Kernel Trick]] |
* [https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/neural-network-regression Neural Network Regression | Microsoft] | * [https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/neural-network-regression Neural Network Regression | Microsoft] | ||
* [https://www.quora.com/When-should-we-use-logistic-regression-and-Neural-Network When should we use logistic regression and Neural Network? | Sebastian Raschka] | * [https://www.quora.com/When-should-we-use-logistic-regression-and-Neural-Network When should we use logistic regression and Neural Network? | Sebastian Raschka] | ||
Revision as of 20:46, 5 July 2023
YouTube search... ...Google search
- AI Solver
- Regression Analysis
- Math for Intelligence ... Finding Paul Revere ... Social Network Analysis (SNA) ... Dot Product ... Kernel Trick
- Neural Network Regression | Microsoft
- When should we use logistic regression and Neural Network? | Sebastian Raschka
- 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
