id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
iajs-2683	Alrubaie, Shymaa Akram Hantoush	Cascade-Forward Neural Network for Volterra Integral Equation Solution	2021	12	.pdf	application/pdf	3523	230	61	In this work, CFNN is trained four times to get the target results with the best performance, then get the results of CFNNs training models to be in one CFNN simulation model for simulating values of VIE solutions. CFNN would have been built to simulate VIE solutions, CFNN represents an appropriate network to solve integral equation because its structures is nonlinear and nonparametric, thus makes it more flexible to get the predictions of time series.	cache/iajs-2683.pdf	txt/iajs-2683.txt