Sentence examples for continuous neural network from inspiring English sources

It is difficult for a well-known continuous neural network to approximate such a function.

In this study, a continuous neural network observer was designed to predict the toluene vapors elimination capacity (EC) in a fungal biofilter.

The combined solution of these problems using HNN requires the interconnection of discrete and continuous neural network models and the formulation of a unified energy function, which is quite complicated.

Continuous neural networks (CNN) have been considered as a real alternative to provide models over uncertain non-parametric systems.

In this paper, the non-fragile state estimation problem is investigated for a class of continuous neural networks with time-delays and nonlinear perturbations.

Neural networks with deviating argument conjugate continuous neural networks and discrete neural networks.

Hence, this type of neural networks has the properties of both continuous neural networks and discrete neural networks.

Consider continuous neural networks with time-varying delays can be described by the following state equations: u ˙ i ( t ) = − ( c i + Δ c i ) u i ( t ) + ∑ j = 1 n ( a i j + Δ a i j ) f j ( u j ( t ) ) + ∑ j = 1 n ( b i j + Δ b i j ) f j ( u j ( t − h ( t ) ) ) + J i, (2.1).

Samsonovich, A. & McNaughton, B. L. Path integration and cognitive mapping in a continuous attractor neural network model.

The proposed control law is obtained adaptively by a continuous recurrent neural network identifier, but not by a conventional neural network controller.

A stable adaptive neural-network-based control scheme for dynamical systems is presented and a continuous recurrent neural network model of dynamical systems is constructed in this paper.