caa a22 4500 477072909 CHVBK 20180405111431.0 cr unu---uuuuu 170330e19960901xx s 000 0 eng 10.1007/BF01414878 doi (NATIONALLICENCE)springer-10.1007/BF01414878 A PDP constructive algorithm for system modelling [Elektronische Daten] [José Crespo, Eduardo Mora] A new constructive algorithm is presented for building neural networks that learn to reproduce output temporal sequences based on one or several input sequences. This algorithm builds a network for the task of system modelling, dealing with continuous variables in the discrete time domain. The constructive scheme makes it user independent. The network's structure consists of an ordinary set and a classification set, so it is a hybrid network like that of Stokbro et al. [6], but with a binary classification. The networks can easily be interpreted, so the learned representation can be transferred to a human engineer, unlike many other network models. This allows for a better understanding of the system structure than just its simulation. This constructive algorithm limits the network complexity automatically, hence preserving extrapolation capabilities. Examples with real data from three totally different sources show good performance and allow for a promising line of research. Springer-Verlag London Limited, 1996 Neural networks nationallicence Constructive algorithm nationallicence System modelling nationallicence Interpretation nationallicence Cross-validation nationallicence Hybrid networks nationallicence Crespo José Applied Mathematics and Computer Science Department, University of Cantabria, Avda. Los Castros, s/n, 39005, Santander, Spain aut Mora Eduardo Applied Mathematics and Computer Science Department, University of Cantabria, Avda. Los Castros, s/n, 39005, Santander, Spain aut Neural Computing & Applications Springer-Verlag 4/3(1996-09-01), 175-182 0941-0643 4:3<175 1996 4 521 https://doi.org/10.1007/BF01414878 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF01414878 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Crespo José Applied Mathematics and Computer Science Department, University of Cantabria, Avda. Los Castros, s/n, 39005, Santander, Spain aut NATIONALLICENCE 700 1- Mora Eduardo Applied Mathematics and Computer Science Department, University of Cantabria, Avda. Los Castros, s/n, 39005, Santander, Spain aut NATIONALLICENCE 773 0- Neural Computing & Applications Springer-Verlag 4/3(1996-09-01), 175-182 0941-0643 4:3<175 1996 4 521 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer