Abstracl--ln this report, a distributed neural network of coupled oscillators is applied to an industrial pattern recognition problem. 1"he network s'tems j?om the study of the neurophysiology of the olfactory system. It is" shown that the network serves as an as'sociative memory, which possesses chaotic dynamics. The problem addres'sed is machine recognition of industrial screws, bolts, etc. i...

Each memory process of the neural network is not always divisible. These memories represent by the interact with one another, supposing it is represented by nonlinear dynamics. In this article, the interacting memory process is studied in our two-moduled chaotic neural network model with the hebbian learning. Internal representation of the chaotic model is classified as two types of dynamics as...

This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-step-prediction of chaotic time series, it estimates the proper parameters of phase space reconstruction and optimizes the structure of recurrent neural networks by co-evolutionary strategy. The searching space was separated into two subspaces and the individuals are trained in a parallel computational procedur...

Neural network process modelling needs the use of experimental design and studies. A new neural network constructive algorithm is proposed. Moreover, the paper deals with the influence of the parameters of radial basis function neural networks and multilayer perceptrons network in process modelling. Particularly, it is shown that the neural modelling, depending on learning approach, cannot be a...

Multi –Step ahead prediction of a chaotic time series is a difficult task that has attracted increasing interest in recent years. The interest in this work is the development of nonlinear neural network models for the purpose of building multi-step chaotic time series prediction. In the literature there is a wide range of different approaches but their success depends on the predicting performa...

We study the existence of snap-back repellers, hence the existence of transversal homoclinic orbits in a discrete-time neural network. Chaotic behaviors for the network system in the sense of Li and Yorke or Marotto can then be concluded. The result is established by analyzing the structures of the system and allocating suitable parameters in constructing the fixed points and their pre-images f...

Recently a Triple key encryption method based on logistic map was proposed. The present paper analysis the security of the proposed encryption method and points out that it can be easily broken by one pair of known/chosen plain-text attack which is supported by mathematical proof and experimental result. In addition, some other security defects are also reported.