matlab function trainrp Search Results


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Accuracy values for ANN models with different parameters.
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Accuracy values for ANN models with different parameters.
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Accuracy values for ANN models with different parameters.
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Accuracy values for ANN models with different parameters.
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The performance of different training functions in the BP neural network model.
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The performance of different training functions in the BP neural network model.
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Image Search Results


Accuracy values for ANN models with different parameters.

Journal: Scientific Reports

Article Title: Comparing SVM and ANN based Machine Learning Methods for Species Identification of Food Contaminating Beetles

doi: 10.1038/s41598-018-24926-7

Figure Lengend Snippet: Accuracy values for ANN models with different parameters.

Article Snippet: Training algorithms, SCG and RP were applied with trainscg and trainrp functions in MATLAB.

Techniques:

The performance of different training functions in the BP neural network model.

Journal: Sensors (Basel, Switzerland)

Article Title: Inverse Piezoresistive Nanocomposite Sensors for Identifying Human Sitting Posture

doi: 10.3390/s18061745

Figure Lengend Snippet: The performance of different training functions in the BP neural network model.

Article Snippet: Typical training functions (corresponding Matlab functions designated in parentheses) include: gradient descent (traingd), gradient descent with momentum (traingdm), gradient descent with adaptive learning (traingda), resilient backpropagation (trainrp), and Levenberg-Marquardt backpropagation (trainlm).

Techniques: