Table 6 MSE and R2 values recorded for sub-neural networks and primary neural networks.

From: A novel neural network-based framework to estimate oil and gas pipelines life with missing input parameters

Missing input

Section

Network

R2

MSE

P

Section 1

Sub neural network

0.99995

0.00083

Primary neural network

0.996

0.00659

Section 2

Sub neural network

0.99997

0.00236

Primary neural network

0.9987

0.00456

Section 3

Sub neural network

0.97513

0.000626

Primary neural network

0.99363

0.00756

Section 4

Sub neural network

0.9880

0.00963

Primary neural network

0.96867

0.0387

P and WT

Section 1

Sub neural network

0.99999

0.000389

Primary neural network

0.97499

0.02687

Section 2

Sub neural network

0.99997

0.000408

Primary neural network

0.97317

0.04897

Section 3

Sub neural network

0.99987

0.000262

Primary neural network

0.97372

0.0687

Section 4

Sub neural network

0.99795

0.007366

Primary neural network

0.97985

0.08657

P, WT and NWT

Section 1

Sub neural network

0.9997

0.000642

Primary neural network

0.9937

0.00468

Section 2

Sub neural network

0.99714

0.0005987

Primary neural network

0.98593

0.02654

Section 3

Sub neural network

0.9998

0.000692

Primary neural network

0.98695

0.06587

Section 4

Sub neural network

0.99972

0.00714

Primary neural network

0.98182

0.06245