Application of Functional Link Artificial Neural Network for Prediction of Machinery Noise in Opencast Mines

Table 4

Simulation study of tipper noise.

Distance from the source (meters)	Measured field data (dBA)	Prediction result (dBA)				Average percentage error (dBA)
		VDI	PPN	FLANN	LeNN	PPN	FLANN	LeNN
1	100.9000	94.2919	74.1198	85.6989	81.4871
2	99.7000	93.0828	74.1198	93.0404	81.4871
3	98.6000	91.9738	74.1198	94.5178	81.4871
4	97.5000	90.8648	74.1198	92.4313	81.4871
5	96.5000	89.8559	74.1198	87.9020	81.4871
6	96.2000	89.5469	85.8609	96.5394	94.5712
7	95.8000	89.1380	85.8609	93.3190	94.5712
8	94.8000	88.1291	85.8609	93.3190	94.5712
9	94.3000	87.6202	85.8609	94.0383	94.5712
10	93.7000	87.0113	85.8609	91.0641	94.5712
11	92.8000	86.1025	85.8609	84.6752	94.5712
12	90.6000	83.8937	85.8609	88.3686	94.5712
13	89.5000	82.8848	85.8609	88.1936	94.5712
14	88.4000	81.6760	74.1198	80.8651	81.4871
15	86.8000	80.0672	64.8344	74.8196	70.1930	13.59	4.36	10.03
16	86.2000	79.4585	64.8344	74.8196	70.1930
17	85.8000	79.0497	64.8344	78.0400	70.1930
18	85.2000	78.4410	64.8344	77.8650	70.1930
19	85.2000	78.4323	64.8344	77.1458	70.1930
20	84.7000	77.9236	64.8344	77.1458	70.1930
21	84.5000	77.7149	64.8344	74.5798	70.1930
22	83.8000	77.0063	62.5730	73.8606	70.1930
23	83.5000	76.6976	62.5730	73.8606	70.1930
24	83.5000	76.6890	61.4715	70.6402	70.1930
25	83.2000	76.3804	61.4715	72.5517	66.3679
26	82.8000	75.9718	63.5968	74.1068	66.3679
27	82.6000	75.7632	59.7479	70.8864	66.3679
28	82.2000	75.3547	60.3181	71.0614	67.0982
29	82.2000	75.3461	60.3181	71.7806	67.3327
30	82.2000	75.3376	72.2342	82.3295	82.9287