Hybrid Indoor-Based WLAN-WSN Localization Scheme for Improving Accuracy Based on Artificial Neural Network

Table 1

ANN designed parameters.

Parameters	Value	Remarks
Number of inputs	6	WiFi, 3; WSN, 3
Number of hidden layers	2	Log-Sigmoid activation function
Number of outputs	2	Linear activation function
Number of neurons in hidden layers	15	For layer 1
	18	For layer 2
Learning rate ()	0.01	Three learning rate is used for each layer
Momentum rate ()	0.6	Three momentum rate is used for each layer
Target error (goal)	0.001 m