Evolution of functional link networks

IEEE Transactions on Evolutionary Computation

Volumn 5, Issue 1, 2001, Pages 54-65

  Sierra, A ^a   Macias J A ^a   Corbacho, F ^a  

^a UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

Evolutionary neural networks; Feature subset selection; Functional link networks; Polynomial regression

Indexed keywords

BACKPROPAGATION; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; POLYNOMIALS; PROBABILITY;

EVOLUTIONARY NEURAL NETWORKS; FUNCTIONAL LINK NETWORKS; POLYNOMIAL REGRESSION;

NEURAL NETWORKS;

EID: 0035247374     PISSN: 1089778X     EISSN: None     Source Type: Journal    
DOI: 10.1109/4235.910465     Document Type: Article

References (44)

1. Approximation capabilities of multilayer feedforward networks
2. A proposal for more powerful learning algorithms
3. Learning, invariance and generalization in high-order neural networks
4. Learning internal representations by error propagation
5. Efficient higher order neural networks for classification and function approximation
6. Learning and generalization characteristics of the random vector functional link net
7. On the relations between discriminant analysis and multilayer perceptrons
8. Translation, rotation, and scale invariant pattern recognition by high-order neural networks and moment classifiers
9. Constructive algorithms for structure learning in feedforward neural networks for regression problems
10. Iterative construction of sparse polynomial approximations
11. Self-organizing network for optimum supervised learning
12. Optimization of high order perceptrons
13. Evolving artificial neural networks
14. A new evolutionary system for evolving artificial neural networks
15. Evolutionary modular neural networks for intelligent systems
16. An evolutionary algorithm that constructs recurrent neural networks
17. G-Ivq, a combination of genetic algorithms and Ivq
18. Training feedforward neural networks using genetic algorithms
19. Evolving neural networks
20. Designing neural networks using genetic algorithms with graph generation system
21. Designing neural networks using genetic algorithms
22. Forming neural networks through efficient and adaptive coevolution
23. Toward the genetic synthesis of neural networks
24. The evolution of learning: An experiment in genetic connectionism
25. Econets: Neural networks that learn in an environment
26. Evolutionary algorithms and gradient search: Similarities and differences
27. 30 years of adaptive neural networks: Perceptron, madaline, and backpropagation
28. Evolving networks: Using genetic algorithm with connectionist learning
29. Proben 1 - A set of neural network benchmark problems and benchmarking rules
30. Modeling with constructive backpropagation
31. Use of a quasinewton method in a feedforward neural-network construction algorithm
32. Noise-tolerant instance-based learning algorithms
33. Projection pursuit regression
34. Feature subset selection using a genetic algorithm
35. Soft computing for feature analysis
36. Combinations of genetic algorithms and neural networks: A survey of the state of the art