THE FEASIBILITY ANALYSIS OF NEURAL NETWORK IN THE PREDICTION OF LITHOLOGY AND LITHOFACLES
Meng Qing-wu · Progress in geophysics · 2001
Mathematical solubility should be first considered when using neural network algorithm to find solutions, and the next in order is the effectivity of data set which used in training. In this paper, we compute the capacity of three level neutral network for the predication of sediment lithofacies in re- spect of a network mapping, also we proof the relation of the hidden node number, network stability and given an internal relationship which analysis the feasibility of neural network in the predication of lithology and lithofacies so as to offer a theory criterion for overcoming the complexity of neural network and the indeterminacy of training data.