Training a Carbon-Nanotube/Liquid Crystal Data Classifier Using Evolutionary Algorithms
(2016)
Presentation / Conference Contribution
Vissol-Gaudin, E., Kotsialos, A., Massey, M., Zeze, D., Pearson, C., Groves, C., & Petty, M. (2016, July). Training a Carbon-Nanotube/Liquid Crystal Data Classifier Using Evolutionary Algorithms. Presented at 15th International Conference on Unconventional Computation and Natural Computation, Manchester, UK
Evolution-in-Materio uses evolutionary algorithms (EA) to exploit the physical properties of unconfigured, physically rich materials, in effect transforming them into information processors. The potential of this technique for machine learning proble... Read More about Training a Carbon-Nanotube/Liquid Crystal Data Classifier Using Evolutionary Algorithms.