An Adaptive Fuzzy Neural Network Based on Self-Organizing Map (SOM)
Junfei Qiao, Hong-gui H · InTech eBooks · 2010
To summarize, the Adaptive Growing Self-Organizing Fuzzy Neural Network controller in this chapter solves the limitations of the traditional fuzzy neural network. The number of the neural network can be changed by the real systems. This chapter provides a new approach to the research of wastewater treatment process, and GSFNNC presents a good respond to a variety of conditions and offers the advantages of certain degree of robustness over the changes that the process can undergo. The simulation results have demonstrated that GSFNNC has abilities as follows: 1. The growing self-organizing algorithm can ensure the nodes' number by real systems; 2. This network controller can keep dissolved oxygen concentration at a proper level, avoiding sludge swelling;