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A general regression neural network approach for the evaluation of compressive strength of FDM prototypes

PaperCitations, authors & open-access status

A general regression neural network approach for the evaluation of compressive strength of FDM prototypes is a paper indexed in PICO Portal from OpenAlex.

How many citations does A general regression neural network approach for the evaluation of compressive strength of FDM prototypes have?

PICO Portalcitation count

A general regression neural network approach for the evaluation of compressive strength of FDM prototypes has 87 citations in the OpenAlex counts PICO Portal stores.

When was A general regression neural network approach for the evaluation of compressive strength of FDM prototypes published?

PICO Portalyear

A general regression neural network approach for the evaluation of compressive strength of FDM prototypes has 2014 year in the PICO Portal index.

What is the open-access status of A general regression neural network approach for the evaluation of compressive strength of FDM prototypes?

PICO Portaloa status

A general regression neural network approach for the evaluation of compressive strength of FDM prototypes has closed oa status in the PICO Portal index.

What is the DOI of A general regression neural network approach for the evaluation of compressive strength of FDM prototypes?

PICO Portaldoi

The DOI for A general regression neural network approach for the evaluation of compressive strength of FDM prototypes is on the source record.

What is the OpenAlex record for A general regression neural network approach for the evaluation of compressive strength of FDM prototypes?

PICO Portalopenalex

The OpenAlex for A general regression neural network approach for the evaluation of compressive strength of FDM prototypes is on the source record.

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