Nonlinear oscillations of single-mass system at force excitation vibration connected with fixed base by weightless viscoelastic spring are considered. To take into account the rheological properties material, Boltzmann-Volterr principle was used. Mathematical models problem in question obtained, which described nonlinear integro-differential equations. A solution method based on use quadrature ...

A hybrid system using weightless neural networks (WNNs) and finite state automata is described in this paper. With the use of such a system, rules can be inserted and extracted into/from WNNs. The rule insertion and extraction problems are described with a detailed discussion of the advantages and disadvantages of the rule insertion and extraction algorithms proposed. The process of rule insert...

We have examined Virtual Generalizing Random Access Memory Weightless Neural Networks (VG-RAM WNN) as platform for depth map inference from static monocular images. For that, we have designed, implemented and compared the performance of VG-RAM WNN systems against that of depth estimation systems based on Markov Random Field (MRF) models. While not surpassing the performance of such systems, our...

The purpose of this paper is to investigate a new quantum learning algorithm for classical weightless neural networks. The learning algorithm creates a superposition of all possible neural network configurations for a given architecture. The performance of the network over the training set is stored entangled with neural configuration and quantum search is performed to amplify the probability a...

Frequent use of synthetic hair care products and overuse grooming results in damaged hair. This leads to growing demand for natural products. Many harsh chemicals liquid shampoo dry An attempt was made formulate a conditioning bar with safflower oil. The nutrient rich, weightless oil imparted good smoothness rough surface indicated by SEM studies treated containing 5% Formulated bars are found ...

The pioneering WiSARD weightless neural classifier is based on the collective response of RAM-based neurons. The ability of producing prototypes, analog to “mental images”, from learned categories, was first introduced in the DRASiW model. By counting the frequency of write accesses at each RAM neuron during the training phase, it is possible to associate the most accessed addresses to the corr...

The aim of this paper is to compare what can be computed with what can be learnable by Artificial Neural Networks (ANN). We will approach the learnability problem in ANN by fixing a particular class of ANN: the weightless neural networks (WNN) ([4)) and restricting ourselves to a particular learning paradigm: learning to recognise sentences of a formallanguage. We will approach the computabilit...

An engineering evaluation was conducted to select an optimum waste management system for collection, storage, and/or disposal of feces and ur'ine in a space station under weightless conditions.^ Based on this study, a detailed design of an optimum waste manage^) ment system was prepared for a 7-man, 15-day mission. Tests perfomed on a breadboard model of the feces collector demonstrated the fea...