Title :
Neurospectra-a neural network model for spectral estimation
Author :
Kulubi, James A.
Author_Institution :
Instrum. Center, Moi Univ., Eldoret, Kenya
Abstract :
An artificial neural network (ANN) model for spectral estimation is presented. The objective is to reduce the lengthy knowledge acquisition process in expert systems by using the supervised learning process of the ANN. The design of the spectral estimation system and the corresponding training system are presented. The implementation of the spectral estimator is realized using programs in conventional programming languages for the numeric routines (spectral estimators, model validation, etc.) and Prolog for the ANN module
Keywords :
knowledge acquisition; learning (artificial intelligence); neural nets; signal processing; Prolog; expert systems; knowledge acquisition; model validation; neural network model; spectral estimation; supervised learning; training; Adaptive algorithm; Artificial neural networks; Data analysis; Expert systems; Instruments; Knowledge acquisition; Knowledge representation; Neural networks; Supervised learning; System testing;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1992. IMTC '92., 9th IEEE
Conference_Location :
Metropolitan, NY
Print_ISBN :
0-7803-0640-6
DOI :
10.1109/IMTC.1992.245053
