An evolving reservoir neo-fuzzy network for time series prediction
Kompyutinhove storage as one of the paradigms of periodic training neural networks through the use of rekurrentnoyi other indicators. The new approach, which focuses on learning fuzzy systems thatand its parameters are adapting their structure online.
Подобные документы
The methods for adaptive, knowledge-based learning, such as online incremental feature selection, spiking neural networks, adaptive data and model integration, and artificial life systems, particle swarm optimisation, ensembles of evolving systems.
книга, добавлен 09.04.2013Possibilities and features of artificial neural networks. Areas of practical application of artificial neural networks. Voice interface distribution and visual serach. Learning neural networks. The following visualization. Direct error propagation.
презентация, добавлен 06.02.2019- 3. A learning platform for developers of fault-tolerant systems based on the signal-parametric approach
Features a training platform for developers of fault-tolerant engineering systems. Application of the theory of diagnosing а state of the system and flexible recovery of her health. Support adaptive learning process using Bayesian probabilistic networks.
статья, добавлен 13.01.2017 The model and structure of the intrusion detection system, which is built on the basis of immunological principles. Detecting the network traffic status. The decision rules for the classification of States of network traffic of a computer network.
статья, добавлен 24.03.2016The technical aspects of building a solution to our problem of predicting advertisement banner efficiency. Rectified Linear Units activation function. A simple neural network architecture, trustworthy model. Visualizing convolutional neural networks.
дипломная работа, добавлен 13.07.2020Опис системи fuzzy-регулювання. Моделювання та розробки нечітких регуляторів. Складення алгоритму для fuzzy-ПІ-регулятора. Дослідження необхідності зменшення вимог до апаратної та програмної частин програми та підвищення швидкодії мехатронної системи.
статья, добавлен 30.01.2017The adaptive learning algorithm for "extended neo-fuzzy neuron" is proposed, that has both following and smoothing properties and allows to solve problems of prediction, filtering and smoothing of non-stationary disturbed stochastic and chaotic signals.
статья, добавлен 29.07.2016Fuzzy controller has two inputs and one output linguistic variables. Structural diagram of neuro-fuzzy controller. The basic mathematical models of each of the five layers neuro-fuzzy controller. Block diagram of genetic algorithm and feature matching.
статья, добавлен 21.06.2016Development of a method for time series prediction, which dynamically finds weights for the input factors. Validation of the proposed method on a set of real time series, the assessment of its results in comparison with the method used as the base.
автореферат, добавлен 30.01.2016The methodological, technical approaches are considered to construct the agent-based model with built-in artificial neural networks. This model describes the user's behavior of electronic, distance learning in a virtual environment of one of universities.
статья, добавлен 23.06.2016Revolutionary changes in the intellectual development of mankind. The emergence of a second human signaling system, awareness of the nature of the formation of cognitive abilities of the human brain and the formation of highly intelligent neural networks.
статья, добавлен 15.04.2024- 12. Navigating the complexity: pseudo-chaotic systems and machine learning scientific research group
Structure and properties of pseudo-chaotic systems. Using machine learning tools for pattern recognition and event prediction. Consideration of ethical issues and assessment of the implications for the synergy of environmental sciences and bioengineering.
статья, добавлен 19.03.2024 The analysis of the existing training methods of multilayer neural network of computing structures is carried out. Recommendations of selected methods usage by examples of multilayer approximation tasks for technology of beneficiation were given.
статья, добавлен 28.02.2016Simulation modeling for solving problems of mathematical physics. Usage cellular neural networks as means of modeling. Usage locally asynchronous methods as algorithmic software and tool optimization of neural network. The block diagram of the software.
статья, добавлен 26.06.2016The place of neural network modeling of language units as an innovative tool for modern research. The value of linguistic units, the genesis of which can be traced thanks to the interaction of an artificial neural network with an array of text data.
статья, добавлен 04.09.2024Types of knowledge-based systems. Logic, rules and representation. The use of registered names, trademarks in engineering. Expert systems, neural networks, genetic algorithms, case-based reasoning systems and methodologies of intelligent agents.
книга, добавлен 04.10.2014The concept of e-learning, its advantages, flexibility of time and place in comparison with formal learning. Creation of a hybrid information system that integrates computer vision and machine learning technologies for visual and interactive systems.
статья, добавлен 10.05.2018Анализ особенностей системы Neural-Network-Driven Fuzzy Reasoning (NNDFR) и рассмотрение вариантов ее оптимизации. Разработка программного модуля для реализации алгоритма системы NNDFR. Применение системы для решения задач регрессионного прогнозирования.
дипломная работа, добавлен 30.08.2016An analysis of some of the main methods and approaches of machine translation, which is designed to speed up the pace of translation of multilingual text. Review of the main functions of artificial neural networks used in neural machine translation.
статья, добавлен 12.01.2023A wireless sensor network of distributed autonomous sensors to monitor physical or environmental conditions and to cooperatively pass their data through the network. The analysis of models of wireless sensor network with random access is presented.
статья, добавлен 26.08.2016The basic approaches to developing application software and computer system components. The generations of object-oriented programming languages. Types of computer systems and secondary storage, storage area network and output devices of information.
презентация, добавлен 10.06.2016Разработка алгоритма обучения технических систем, позволяющего выполнять автоматическую настройку функций принадлежности нечетких (fuzzy) множеств в соответствии с обучающей выборкой. Результаты моделирования алгоритма обучения в системе Matlab.
статья, добавлен 02.02.2019The main tasks of artificial intelligence: creation and work in systems of symbolic calculations, systems with fuzzy logic, cognitive psychology, understanding of natural language, creation of expert systems. Its importance in business processes.
статья, добавлен 17.12.2022Сфера применения систем, основанных на нечетком логическом выводе. Пакет Fuzzy Logic Toolbox в составе ПО MATLAB как один из наиболее распространенных инструментов, используемых при проектировании нечетких систем. Процесс и этапы разработки программы.
статья, добавлен 26.07.2018Концепции нейросетевых технологий. Биологическая параллель и задачи, решаемые нейрокомпьютерами. Реализация системы оценки качества дорожного покрытия в пакете прикладных программ Fuzzy Logiс среды Matlab. Создание системы нечеткого логического вывода.
курсовая работа, добавлен 29.12.2014