Authors: TWOMEY JM SMITH AE

Citation: Jm. Twomey et Ae. Smith, BIAS AND VARIANCE OF VALIDATION METHODS FOR FUNCTION APPROXIMATION NEURAL NETWORKS UNDER CONDITIONS OF SPARSE DATA, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 28(3), 1998, pp. 417-430

Authors: RAMANI B CHERAGHI SH TWOMEY JM

Citation: B. Ramani et al., CAD-BASED INTEGRATED TOLERANCING SYSTEM, International Journal of Production Research, 36(10), 1998, pp. 2891-2910

Authors: KINE DAH MAEYENS E TWOMEY JM

Citation: Dah. Kine et al., OSTEOPOROSIS - A SURVEY OF CONSULTANT OPHTHALMOLOGISTS, British journal of ophthalmology, 82(2), 1998, pp. 203-204

Authors: EKSIOGLU M FERNANDEZ JE TWOMEY JM

Citation: M. Eksioglu et al., PREDICTING PEAK PINCH STRENGTH - ARTIFICIAL NEURAL NETWORKS VS REGRESSION, International journal of industrial ergonomics, 18(5-6), 1996, pp. 431-441

Authors: TWOMEY JM SMITH AE

Citation: Jm. Twomey et Ae. Smith, PERFORMANCE-MEASURES, CONSISTENCY, AND POWER FOR ARTIFICIAL NEURAL-NETWORK MODELS, Mathematical and computer modelling, 21(1-2), 1995, pp. 243-258

Authors: TWOMEY JM SMITH AE REDFERN MS

Citation: Jm. Twomey et al., A PREDICTIVE MODEL FOR SLIP RESISTANCE USING ARTIFICIAL NEURAL NETWORKS, IIE transactions, 27(3), 1995, pp. 374-381