Title :
Structure optimization of neural networks with the A*-algorithm
Author :
Doering, Axel ; Galicki, Miroslaw ; Witte, Herbert
Author_Institution :
Inst. of Med. Stat., Friedrich-Schiller-Univ., Jena, Germany
fDate :
11/1/1997 12:00:00 AM
Abstract :
A method for the construction of optimal structures for feedforward neural networks is introduced. On the basis of a construction of a graph of network structures and an evaluation value which is assigned to each of them, an heuristic search algorithm can be installed on this graph. The application of the A*-algorithm ensures, in theory, both the optimality of the solution and the optimality of the search. For several examples, a comparison between the new strategy and the well-known cascade-correlation procedure is carried out with respect to the performance of the resulting structures
Keywords :
feedforward neural nets; graph theory; learning (artificial intelligence); pattern classification; search problems; A*-algorithm; cascade-correlation procedure; feedforward neural networks; heuristic search algorithm; optimality; structure optimization; Art; Computer science education; Electroencephalography; Feedforward neural networks; Heuristic algorithms; Neural networks; Neurons; Optimization methods; Parametric statistics; System identification;
Journal_Title :
Neural Networks, IEEE Transactions on
