Advances in Artificial Neural Systems / 2016 / Article / Tab 5

Research Article

A State-Based Sensitivity Analysis for Distinguishing the Global Importance of Predictor Variables in Artificial Neural Networks

Table 5

Resultant mean values for input variables, to , and the modeled output, , within the case study simulation, #37 (see Figure 3), when values of lie within distinct “states” across its distribution (refer to Figure 2). : the instances of data vectors within a distinct “state” (total = 150).

State of

2−2.50.000−0.313−0.250−0.313−1.750
7−1.75−0.446−0.161−0.286−0.268−1.536
18−1.250.118−0.1670.125−0.375−0.771
9−0.875−0.653−0.083−0.1670.194−1.111
10−0.625−0.300−0.538−0.050−0.438−0.575
18−0.375−0.007−0.382−0.4580.111−0.347
13−0.125−0.1540.2690.173−0.115−0.058
150.1250.1580.042−0.383−0.0830.258
120.3750.031−0.0310.406−0.4690.458
110.6250.0910.045−0.2500.0110.420
80.8750.2810.2970.5780.3440.797
171.250.0960.2720.1250.4340.838
61.750.3130.5000.0210.3131.500
42.50.3440.8440.6561.2811.688