Easy Python software with neural networks
Budget: $2 – $8 USD
I experimentally measured 15 different nanocomposites samples in Electrical test ( breakdown strength test ) and mechanical test ( tensile strength ) for each composite
15 nanocomposite sample are :
Different Combinations of two rubber silicone rubber and EPDM rubber with different weight ratios % filled with different concentration of nano Silica ( 1,3,5,7) Phr (Phr: part per hundred rubber)
There are two types of tests
-Electrical test ( breakdown strength test )
Was performed 10 times to improve the accuracy in 3 different conditions (dry-wet-salt wet) the software should calculate the average for each condition and work for the average value for each condition.
-mechanical test ( tensile strength ) measured 3 times the software should calculate the average value and work on the average value.
I need python software that can analyze the data using feed forward neural network ( FFNN) to forecast the dielectric strength and tensile strength for different combinations between SiR and EPDM that were not tested experimentally for example( Silicone rubber : EPDM ) : (60%: 40%) Loaded with different concentration of nano silica where the experimental results only tested on (1,3,5,7) Phr
For example
The program should calculate the dielectric strength and tensile strength for
SiR/EPDM ( 55% : 45%) with 3 Phr
The attached file contains
The electrical and mechanical experimental results
15 nanocomposite sample are :
Different Combinations of two rubber silicone rubber and EPDM rubber with different weight ratios % filled with different concentration of nano Silica ( 1,3,5,7) Phr (Phr: part per hundred rubber)
There are two types of tests
-Electrical test ( breakdown strength test )
Was performed 10 times to improve the accuracy in 3 different conditions (dry-wet-salt wet) the software should calculate the average for each condition and work for the average value for each condition.
-mechanical test ( tensile strength ) measured 3 times the software should calculate the average value and work on the average value.
I need python software that can analyze the data using feed forward neural network ( FFNN) to forecast the dielectric strength and tensile strength for different combinations between SiR and EPDM that were not tested experimentally for example( Silicone rubber : EPDM ) : (60%: 40%) Loaded with different concentration of nano silica where the experimental results only tested on (1,3,5,7) Phr
For example
The program should calculate the dielectric strength and tensile strength for
SiR/EPDM ( 55% : 45%) with 3 Phr
The attached file contains
The electrical and mechanical experimental results