Now showing 1 - 10 of 75
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The application of simulated annealing method for optimal route detection between objects

2019, Grabusts, Pēteris, Jurijs Musatovs, Vladimir Golenkov

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Using Path Planning for Process Modelling in Chemical Industry

2016, Edvards Valbahs, Ilo Dreyer, Grabusts, Pēteris

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E-COMMERCE WEBSITES PERFORMANCE AND STABILITY ANALYSIS

2021, Tatjana Sadovska, Dmitrijs Sadovskis, Grabusts, Pēteris

The goal of the work is to make performance and stability analysis for the most popular e-commerce websites in Latvia, evaluate metrics and suggest improvements. Analysis result should provide necessary information for companies’ owners to increase conversion rate and reduce bounce rate.

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SIMULATED ANNEALING METHOD IN THE CLASSIC BOLTZMANN MACHINES

2023, Grabusts, Pēteris, Oleg Uzhga-Rebrov

The classical Boltzmann machine is understood as a neural network proposed by Hinton and his colleagues in 1985. They added noise interferences to the Hopfield model and called this network a Boltzmann machine drawing an analogy between its behaviour and physical systems with the presence of interferences. This study explains the definition of “simulated annealing” and “thermal equilibrium” using the example of a partial network. A technique for calculating the probabilities of transition states at different temperatures using Markov chains is described, an example of the application of the SA - travelling salesman problem is given. Boltzmann machine is used for pattern recognition and in classification problems. As a disadvantage, a slow learning algorithm is mentioned, but it makes it possible to get out of local minima. The main purpose of this article is to show the capabilities of the simulated annealing algorithm in solving practical tasks.

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INFORMATIONAL WARFARE – INFLUENCE ON INFORMATIONAL STRUCTURES

2019, Grabusts, Pēteris, Zorins, Aleksejs, Teilāns, Artis

The concept of information warfare encompasses the use of information and communication technologies to gain an advantage over a potential opponent. The information warfare is the manipulation with the information that trusts the goal, so that the goal should make decisions about its interests in the interests of opponents. Information structures are treated as systems that process different types of information, provide storage and access to users. Such structures may enclose neural networks, self-learning systems etc. They need to be ready to learn, respond to threats and ensure their safety, which is topical in today's information warfare. This paper will address aspects related to the security of information systems from a system theory point of view. The knowledge base of information structures can be elements of artificial intelligence, which security must be protected against various threats. The authors considers artificial neural networks to be one of the potential threats in the context of information warfare.

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Decision Tree Creation Methodology Using Propositionalized Attributes

2016, Grabusts, Pēteris, Arkādijs Borisovs, Ludmila Aleksejeva

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WEBSITE CREATION FOR CONSTRUCTION SUPPLY COMPANY

2019, Liene Ostrovska, Karīna Runce, Grabusts, Pēteris

Nowadays, a website can be considered a "face" of a company in a digital environment. To develop a successful and effective website, start with planning, first identifying the goals, wishes, needs and expectations of the organization from the target audience, as well as the product or service that the website will direct. The author's work has explored the websites of other building materials shops to evaluate and understand how to make a website better for your company. An employee survey was conducted to find out if a website was needed. As a result, the authors of the work created a model for their company's website.

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Methodology for Environmental Risk Analysis Based on Intuitionistic Fuzzy Values

2023, Oleg Uzhga-Rebrov, Grabusts, Pēteris

Ecological risks are characterized by a high degree of uncertainty about the chances of unfavorable event outcomes and the losses associated with those outcomes. Subjective expert judgment is widely used when baseline data are insufficient. This introduces additional uncertainties in the results of risk analyses. In order to successfully model the existing uncertainties, this paper presents a methodology for ecological risk analysis that is based on input evaluations in the form of intuitionistic fuzzy values (IFVs). The advantage of this approach is the ability to model a wide range of uncertainties in ecological risk analysis tasks.

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SUBJECTIVE PROBABILITIES ELICITATION AND COMBINATION IN RISK ASSESSMENTS PROBLEMS

2023, Oleg Uzhga-Rebrov, Grabusts, Pēteris

Very many areas of human activity are associated with greater or lesser risks. In order to make reasonable decisions, these risks must be properly assessed. The consequences of any risk can be characterized on the basis of two fundamental dimensions (metrics): (1) losses associated with the outcomes of implementation an unfavourable event; (2) probabilities that quantify the uncertainties in the occurrence of these outcomes. This article in a concise form presents and analyses approaches to subjective probabilities elicitation and combining the obtained individual estimates in group subjective probabilities estimation.

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Path Planning for Process Modelling in Chemical Engineering

2014, Edvards Valbahs, Ilo Dreyer, Grabusts, Pēteris