Hybrid learning in a multi neural network architecture

Proceedings of the International Joint Conference on Neural Networks

Volumn 4, Issue , 2001, Pages 2788-2793

  Lopes, N ^a   Ribeiro, B ^a  

^a UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; BACKPROPAGATION; COMPUTER ARCHITECTURE; DATA STRUCTURES; FUNCTIONS;

FUNCTION APPROXIMATION CAPABILITIES; HYBRID LEARNING; MULTI NEURAL NETWORK ARCHITECTURE; NEURONS; QUADRATIC ERROR FUNCTIONS;

FEEDFORWARD NEURAL NETWORKS;

EID: 0034873232     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Backpropagation: Basics and new developments
2. Successes and failures of backpropagation: A theoretical investigation
3. The cascade-correlation learning architecture