Summary
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.
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Sztandera, L., Trachtman, M., Bock, C., Velga, J., Garg, A. (2003). Soft Computing, Molecular Orbital, and Density Functional Theory in the Design of Safe Chemicals. In: Cartwright, H.M., Sztandera, L.M. (eds) Soft Computing Approaches in Chemistry. Studies in Fuzziness and Soft Computing, vol 120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36213-5_4
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DOI: https://doi.org/10.1007/978-3-540-36213-5_4
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