id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hjic-1020	Woinaroschy, A.; Plesu, V.; Woinaroschy, K.	CLASSIFICATION NEURAL NETWORKS IMPROVEMENT USING GENETIC ALGORITHMS	2002	5	.pdf	application/pdf	3147	175	56	the bounds imposed to the weights of the inter-neuronal connections, the number of neurons in the hidden layer, fitness expression, etc. Keywords: neural networks, genetic algorithms, classification Introduction An important field of neural network applications in bioprocessing and chemical engineering consists in classification problems, like process fault detection and diagnosis, detection and location of gross errors in experimental data sets, spectral analysis, models discrimination and identification of model parameters, etc. There are several types of neural networks used for classification problems: back-propagation, radial-basis­ function, learning-vector-quantization, probabilistic networks, networks based on adaptive-resonance-theory, and so on.	cache/hjic-1020.pdf	txt/hjic-1020.txt