This paper investigates the use of neural networks for the identification of linear time invariant dynamical systems. Two classes of networks, namely the multilayer feedforward network and the recurrent network with linear neurons, are studied. A notation based on Kronecker product and...

State-of-the-art slaughter techniques are still mainly manual. A few attempts have recently been made to automate the primary pig slaughter process focussing on the partial processes before and after the evisceration process. This paper deals with two-dimensional modelling of the spine of pig...

In this paper we focus on the use of adaptive connectionist networks as a tool for designing controllers for nonlinear dynamic systems. A general interrelation between representation, control and learning is set up. We have developed controllers for nonlinear systems using three control...

In this paper, the transmission line method (TLM) is applied to the solution of the general, nth order, continuous Kalman filter estimation equations. A comparison is made between this method, the first-order Gear algorithm and the fourth-order Runge-Kutta method, in the estimation of the...

Block oriented system simulation based on physical model was used to simulate the drying process of different agricultural materials instead of uncertain empirical and half-empirical equations. The main purpose of this paper is to demonstrate the advantages of this method and to show how to...

In this paper we study, mainly numerically, stochastic pitchfork bifurcation. By stochastic bifurcation we mean that new invariant measures appear as parameters contained in random dynamical systems are varied. We also show, by example, that using computer algebra MAPLE one can calculate...

McCulloch and Pitts originally thought that cortical neurons computed using single spikes, with temporal resolution well under a millisecond. But the most popular current simplification of those neurons is as devices which perform computations based on real-valued firing rates, averaged over...

We describe a method of approximation of strong solutions to Stratonovich differential equations, that depends only on the Brownian motion defining the equation. h being the step size, it is known that the order of convergence of such approximations is h in the general case, and of h in some...