A representation method for PWL functions oriented to parallel processing

Authors:
J. M. Tarela;E. Alonso;M. V. Martínez
Affiliations:
Departamento de Electricidad y Electrónica Universidad del País Vasco, apartado 644, 48080 Bilbao, España;Departamento de Electricidad y Electrónica Universidad del País Vasco, apartado 644, 48080 Bilbao, España;Departamento de Electricidad y Electrónica Universidad del País Vasco, apartado 644, 48080 Bilbao, España
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
1990

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Abstract

PWL functions are represented by an algebra that facilitates their treatment in many practical problems. One of the characteristics of the resulting analytical model is that the representation of the data flow proves particularly suitable for parallel processing. The present work shows that the number of computation cells is lower than the number of hyperplanes of the function. Also the analytical expression does not require any information about the regions into which the function domain is divided. These two facts confer the offered method great usefulness within the context of neural computation.