The computing capacity of three-input multiple-valued one-threshold perceptrons

Neural Processing Letters

Volumn 14, Issue 2, 2001, Pages 141-155

  Ngom, Alioune ^a   Stojmenović, Ivan ^b   Tošić, Ratko ^c  

^a UNIVERSITY OF WINDSOR   (Canada)

^b UNIVERSITY OF OTTAWA   (Canada)

^c UNIVERSITY OF NOVI SAD   (Serbia)

Author keywords

Linear partition; Linear separation; Minimal pair; Multiple valued function; Perceptron; Threshold element

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; FUNCTIONS; SET THEORY;

LINEAR PARTITIONS; MULTIPLE-VALUED FUNCTIONS;

NEURAL NETWORKS;

EID: 0035482827     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1012443410163     Document Type: Article

References (17)

1. Synthesis of multivalued multithreshold functions for CCD implementation
2. On the number of linear partitions of the (m, n)-grid
3. Minimization of multiple-valued multiple-threshold perceptrons by genetic algorithms
4. Learning with permutably homogeneous multiple-valued multiple-threshold perceptrons
5. STRIP - A strip based neural network growth algorithm for learning multiple-valued functions
6. On the number of multilinear partitions and the computing capacity of multiple-valued multiple-threshold perceptrons
7. Learning with discrete multivalued neurons
8. Computing with discrete multivalued neurons
9. The capacity of multilevel threshold functions
10. The separating capacity of a multithreshold threshold element
11. Multiple threshold perceptron