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“Neural Network” için 31 makale

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ОСНОВЫ ПРОЦЕССА ОБУЧЕНИЯ ИСКУССТВЕННОЙ НЕЙРОННОЙ СЕТИ

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International Journal InternaukaCilt 2018/14, Sayı 14

In this article the authors make revive three general paradigms of the machines learning: “with educator”, “without educator” and combined. Displayed general researches on neuromodeling that may be interesting for engineers and scientists. Have been made the comparison of the …

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АЛГОРИТМЫ МАШИННОГО ОБУЧЕНИЯ (МО) И ГЛУБОКОГО ОБУЧЕНИЯ (ГО) И ИХ ПРИМЕНЕНИЕ В ПРИКЛАДНЫХ ПРИЛОЖЕНИЯХ

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International Journal InternaukaCilt 2018/11, Sayı 11

In this article the authors make the current review of machine learning algorithms in order to explain the principles on which they work and show examples of decisions based on them. The article will be considered: the main semantic of …

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ОРГАНИЗАЦИЯ МНОГОЭТАПНОГО МЕТОДА ОБУЧЕНИЯ СВЕРТОЧНОЙ НЕЙРОННОЙ СЕТИ

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International Journal InternaukaCilt 2018/6, Sayı 6

This paper describes methods and algorithms for training neural networks. Also, the organization of multi-stage training of the neural network, based on adaptive and genetic methods, which has been successfully applied to the convergent neural network to solve the problem …

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КОМПЬЮТЕРНАЯ ИНЖЕНЕРИЯ: НЕЙРОННЫЕ СЕТИ И НЕЙРОКОМПЬЮТЕРЫ КАК ОСНОВА ОТОБРАЖЕНИЯ ПРОЦЕСА МЫШЛЕНИЯ

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International Journal InternaukaCilt 2018/5, Sayı 5

The first attempts of technical reproduction process of thinking by creating artificial neural network models have been made by scientists in the mid-40 years of the 20th century. With the advent of computer technology, this problem has acquired a special …

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ВОЗМОЖНОСТИ ДИАГНОСТИКИ ГЕСТОЗА БЕРЕМЕННЫХ С ИСПОЛЬЗОВАНИЕМ НЕЙРОСЕТЕВЫХ ТЕХНОЛОГИЙ

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International Journal InternaukaCilt 2017/8, Sayı 8

The proposed approach to optimization of the diagnosis of preeclampsia using registration key hemodynamic parameters, which allows to objectively evaluate the hemodynamics in pregnant women with preeclampsia, to determine the type of hemodynamics in pregnant women and to monitor the …

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NEW APPROACHES FOR IMPROVED QUALITY IN EDUCATIONAL ASSESSMENTS: USING AUTOMATED PREDICTIVE SYSTEMS IN READING AND MATHEMATICS

Mariel Musso, Eduardo Cascallar

Problems of Education in the 21st CenturyCilt 2009/17, Sayı 17

Education has been impacted by the shift from an industrial society to an information-based environment. We are now shifting again to an “innovation-based” society which requires what Sternberg (2000) calls “successful intelligence”. As the practice of educational assessment evolves, developments …

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Application of Ann in Australian Credit Card Approval

Erkan Ilgun, Ensar Mekiš, Emina Mekiš

European ResearcherCilt 2014/14, Sayı 69

Nowadays, credit cards became popular in both developed and developing countries. For lenders, more credit card applications mean more complex decision making process. The purpose of this research was to examine how accurate and reliable results Neural Networks (ANN) can …

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NEURAL NETWORK MODELSOF DATA DELIVERY ROUTE OPTIMIZATION IN DYNAMIC NETWORKS

K. V. Kolesnikov, A. R. Karapetyan, A. S. Kurkov A. S.

International Journal InternaukaCilt 2015/6, Sayı 6

Проведен анализ существующих методов решения задачи сетевой маршрутизации с использованием нейросетевых технологий, а именно, сетей Хопфилда. Актуальности исследованию придаёт предложение функции Ляпунова для решения задачи маршрутизации с учетом пропускной способности и количества каналов связи, задействованных в маршруте.

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EEG BASED COGNITIVE WORKLOAD CLASSIFICATION DURING NASA MATB-II MULTITASKING

Sushil Chandra, Kundan Lal Verma, Greeshma Sharma +2 yazar

International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE)Cilt 2015/3, Sayı 1

The objective of this experiment was to determine the best possible input EEG feature for classification of the workload while designing load balancing logic for an automated operator. The input features compared in this study consisted of spectral features of …

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