Abstract:

It is necessary to give more efficient method for forecasting the estimate telecommunication. A model based on Wavelet Neural Network is introduced in telecommunications to forecast the income and the uesers. To build wavelet basis NN (Neural Network), the sigmoid function is replaced with the wavelet in NN, and adaptive-learning rate and initialization of parameters are also used to obtain high probability and high convergence speed. When a model of wavelet neural network is established to forecast the gross service in telecommunications, subjective guided data is introduced in consideration of the impact of industry convergence on future telecom industry. 

Key words: wavelet neural network, telecommunication industry, initialization of parameters