Fuzzy entropy and conditioning
Information Sciences: an International Journal
Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
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This research focuses on the use of soft computing to aid in the development of novel, state-of-the-art, non-toxic dyes which are of commercial importance to the U.S. textile industry. Where appropriate, modern molecular orbital (MO) and density functional (DF) techniques are employed to establish the necessary databases of molecular properties to be used in conjunction with the neural network approach. In this research, we focused on: 1) using molecular modeling to establish databases of various molecular properties of azo dyes required as input for our neural network approach; 2) designing and implementing a neural network architecture suitable to process these databases; and 3) investigating combinations of molecular descriptors needed to predict various properties of the azo dyes.