An Asynchronous Encryption Arithmetic Based on Laguerre Chaotic Neural Networks

RETRACTED: Novel application of continuously variable transmission system using composite recurrent Laguerre orthogonal polynomials modified PSO NN control system

“…β is the selffeedback gain of the hidden layer which is selected between 0 and 1. Laguerre orthogonal polynomials [20][21][22][23][24] are selected for activation function in the hidden layer. Laguerre orthogonal polynomials are indicated by L h ðxÞ, where h is the order of expansion and À1 o x o 1. m is the number of nodes.…”

“…Functional-link NNs [17][18][19], which show less computational complexity and faster convergence, have been implemented for performing the tasks of system identification and control in many nonlinear systems. Recently, combinations of Laguerre functional expansions and NNs, which have been used for highly nonlinear approximation, identification, compensation, and control of systems, have been proposed [20][21][22][23][24]. Aadaleesan et al [20] proposed a combination of a Laguerre filter and a wavelet network to approximate a memoryless nonlinearity.…”

“…Another study reported the approximation of the linear and nonlinear sections of a Wiener structure by using a Laguerre filter and a general feedforward NN [21]. The Laguerre-functional-expansion feedforward NN, which employs Laguerre orthogonal polynomials in the activation functions of hidden neurons to identify models of chaotic time series, was proposed by Zou and Xiao [22]. Patra et al [23] proposed a computationally efficient Laguerre NN based on Laguerre functional expansions for auto-compensating for the environmental reliance and associated nonlinearity in intelligent sensors.…”

A New Robust Zero-watermarking Algorithm for Medical Volume Data

“…This paper uses a new hermite neural network [14]. The hermite neural network model is shown in Figure 1.…”

Grayscale Image Authentication using Neural Hashing

“…Also any malicious access to server database cannot capture client's original passwords. Up to now, there have been lots of studies to advance robust machine learning based hash-functions and use them in communications (Zou & Xiao 2009;Lian et al 2007;YAYIK & KUTLU n.d.;Yayık & Kutlu 2013;Huang 2011). Near past and recently there is relatively much interest in using neural networks for cryptography (Lian et al 2006) .…”