Cyber Intrusion Detection Based on a Mutative Scale Chaotic Bat Algorithm with Backpropagation Neural Network
Table 2
Notations used in this paper.
Notations
Description
Bat population size
G
Maximum quantity of epochs
The velocity of the ith individual bat at time t
Initial loudness, the loudness of the ith individual at time t, the average loudness of all individual bats at time t
The initial pulse emissivity of the individual, the pulse emission rate of the ith individual at time t
Pulse emission rate increase coefficient
Fitness function
The code of the ith individual at time t, initial individual code, current global optimal individual code (solution), and current individual optimal coding (solution)
Quantity of particles in the chaotic sequence
The value on the ith dimension of the fuzzy sequence
Quantity of neurons in the input layer
Number of neurons in the input layer, hidden layer, and output layer of BPNN
Individual bat code length
Dimensionality of individual bat coding
The range of values for the weight and threshold
The nonlinear decreasing inertia weight at time t
All are constants
Stagnation algebraic threshold
Random number
Attenuation coefficient of the volume
,,
The value of the ith individual bat at moment t, the minimum and maximum values of frequency taken
