Contrasting trained Wavelet Neural Networks with an application to bankruptcy prediction in banks
Researcher: Mamphaga Ratshilengo, University of Venda, Johannesburg
Supervisor: Dr Farai Mlambo, University of the Witwatersrand, Johannesburg
Wavelet is a wavy oscillation with width, scale, or magnitude that begin at zero point, rises, and decline to zero again [1]. Neural network (NN) is a series of algorithms aims in recognising the relations in a set of data through a process that characterises the work of human brain. NNs are applicable in various field, including speech recognition, hand-written digit recognition and when driving a car [2]. In WNNs, wavelets and NNs are combined into one thing [1].
