QSPR analysis of copolymers by recursive neural networks: Prediction of the glass transition temperature of (meth)acrylic random copolymers Carlo Giuseppe Bertinetto a , Celia Duce a , Alessio Micheli b , Roberto Solaro a * , , Maria Rosaria Tiné a * a Dept. of Chemistry and Industrial Chemistry, University of Pisa, via Risorgimento 35, 56126 Pisa, Italy b Dept. of Computer Science, University of Pisa, Largo B. Pontecorvo 3, 56127 Pisa, Italy * Corresponding author. Tel.: +39 050 2219 284; fax: +39 050 2219260 E–mail address: rosola@dcci.unipi.it (R. Solaro) Tel.: +39 050 2219 268; fax: +39 050 2219260 E–mail address: mrt@dcci.unipi.it (M. R. Tiné) *Manuscript Click here to view linked References