Weighted fuzzy reasoning network and its application
Panchi Li · Jisuanji gongcheng yu sheji · 2005
A weighted fuzzy reasoning network structure model and its algorithm are proposed. The basic unit of information processing in this network is fuzzy reasoning neuron. The algorithm combines the excellence of fuzzy logic that can express domain rules and me-tempirical knowledge wholly with the virtue of neural network that can adapt to the environment automatically. A novel study algorithm of the network is shown that is based on fuzzy reasoning rule and numerical method for differential dynamic systems. This algorithm has better stability and fast speed quality of convergence. This algorithm can overcome some shortages of falling into local minima. Finally an experiment example is proposed to illustrate the availability of the network and algorithm by water flooded layer identification in oil field producing.