Back Propagation Neural Network Model for Predicting the Performance of Immobilized Cell Biofilters Handling Gas-Phase Hydrogen Sulphide and Ammonia

Table 1

Basic statistics of the training data set.

Variable	Basic statistics
	𝑁	Mean	Std deviation	Minimum	Maximum	Sum square
Inputs
Unit flow, per min	102	1.46	0.36	0.93	2.46	148.92
Concentration, ppmv	102	57.92	27.84	10	150	5908
Outputs
RE, %	102	94.33	9.69	52.5	100	9621.8