Redundancy is commonly used to guarantee continued functionality in networked systems. However, often many nodes are vulnerable to the same failure or adversary. A “backup” path is not sufficient if both paths depend on nodes which share a vulnerability. For example, if two nodes of the Internet cannot be connected without using routers belonging to a given untrusted entity, then all of their c...

An artificial neural network algorithm is implemented using a field programmable gate array hardware. One hidden layer is used in the feed-forward neural network structure in order to discriminate one class of patterns from the other class in real time. With five 8-bit input patterns, six hidden nodes, and one 8-bit output, the implemented hardware neural network makes decision on a set of inpu...

Natural networks have been used during several years to solve classification problems. The performance of a neural network depends directly on the design of the hidden layers, and in the calculation of the weights that connect the different nodes. On this project, the structure of the hidden layer is not modified, as the interest lies only on the calculation of the weights of the system. In ord...

In contrast to software simulations of neural networks, hardware implementations have limited or no tunability. While such networks promise great improvements in terms speed and energy efficiency, their performance is by the difficulty applying efficient training. We propose realize experimentally an optical system where highly backpropagation training can be applied through array nonlinear, no...

today one of the most important problems in agriclimatology in effecting of climate on products. one of the climate elements in freezing which according to the continuity , extend and amount of it on agricultural activities ,transportation and invironment has a lot of affections. least temperature forcasts as one of the important climatic elements to forcasting late coldness and freezing in spr...

The Bayesian Information Criterion (BIC) was presented to obtain the appropriate structure, via the number of hidden nodes, and a new algorithm was proposed to improve the convergence speed of backpropagation training method. The algorithm was obtained by employing the conjugate gradient method to solve the nonlinear part in the weights of the hidden layers and the Kalman filter to solve the li...

Combining neural networks and wavelet theory as an approximation or prediction models appears to be an effective solution in many applicative areas. However, when building such systems, one has to face parsimony problem, i.e., to look for a compromise between the complexity of the learning phase and accuracy performances. Following that, the aim of this paper is to propose a new structure of co...

In this paper, work has been performed to recognize Handwritten English Character using a multilayer perceptron with one hidden layer. The feature extracted from the handwritten character is Boundary tracing along with Fourier Descriptor. Character is identified by analyzing its shape and comparing its features that distinguishes each character. Also an analysis was carried out to determine the...

In this paper, a novel PID-like neural network controller (PIDNNC) is created. It is composed of a neural network with no more than 3 neural nodes in hidden layer, and there are an activation feedback and (or) an output feedback in hidden layer, respectively. This special structure makes the network be able to be a P, PI, PD, or PID controller as needed. The proposed controller weights can be u...