A neural mode shape identifier

A first stage for a fuzzy neural active controller is developed. Neural network technology is utilized in the real time identification of the mode of vibration of any structural system under seismic loading. The parallel processing nature of neural networks fit the nature of multi degree of freedom systems. Such a property would result in considering the whole structure and eliminating the need for problem reduction. The proposed mode identifier is a multilayer neural network. The pattern identification process is considered a state evaluation stage that is required as a first step in the development of a fuzzy neural active controller. Such a controller would select a suitable fuzzy control strategy based on the identified displacement pattern.