Trujillo, Frank O., authorSheedvash, Sassan, authorAzimi-Sadjadi, Mahmood R., authorIEEE, publisher2007-01-032007-01-031993Azimi-Sadjadi, Mahmood R., Sassan Sheedvash, and Frank O. Trujillo, Recursive Dynamic Node Creation in Multilayer Neural Networks, IEEE Transactions on Neural Networks 4, no. 2 (March 1993): 242-256.http://hdl.handle.net/10217/920This paper presents the derivations of a novel approach for simultaneous recursive weight adaptation and node creation in multilayer back-propagation neural networks. The method uses time and order update formulations in the orthogonal projection method to derive a recursive weight updating procedure for the training process of the neural network and a recursive node creation algorithm for weight adjustment of a layer with added nodes during the training process. The proposed approach allows optimal dynamic node creation in the sense that the mean-squared error is minimized for each new topology. The effectiveness of the algorithm is demonstrated on several benchmark problems, namely, the multiplexer and the decoder problems as well as a real world application for detection and classification of buried dielectric anomalies using a microwave sensor.born digitalarticleseng©1993 IEEE.Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.backpropagationfeedforward neural netstopologyText