A Reasoning Neural Network Based on Reverse Cloud Transformation
XU Shao-hu · Computer Technology and Development · 2015
Aiming at the reasoning problems of the mutual integration betw een the numerical information and qualitative domain knowledge,a Reasoning Neural Network( RNN) based on cloud transformation was proposed. Using the reverse normal cloud generator can achieve the conversion of the uncertain relationship betw een the quantitative values and qualitative concept description,and build the mixed information reasoning logic and RNN model based on cloud transformation. Then transform the numerical information into qualitative concept in the sense of probability through the cloud transformation,and express the inference rules as neurons,and use the learning nature of the neural networks to achieve adaptive processing of mixed quantitative and qualitative information. Taking pumping unit balance diagnostic for example,the experimental results verify the validity of the model and algorithm.