Title
Complexity of Collective Decision Making Explained by Neural Network Universal Approximation Theorem
Publication Date
1-1998
tr97-33.pdf (84 kB)
Original file: UTEP-CS-97-33
Original file: UTEP-CS-97-33
Complexity of Collective Decision Making Explained by Neural Network Universal Approximation Theorem
1-1998
Comments
Technical Report: UTEP-CS-97-33a
In: Goetz Alefeld and Raul A. Trejo (eds.), Interval Computations and its Applications to Reasoning Under Uncertainty, Knowledge Representation, and Control Theory. Proceedings of MEXICON'98, Workshop on Interval Computations, 4th World Congress on Expert Systems, Mexico City, Mexico.