نتایج جستجو برای: artificial neuronal network

تعداد نتایج: 981848  

Journal: :international journal of automotive engineering 0
h. shojaeefard m. etghani tahani akbari

in this study the performance and emissions characteristics of a heavy-duty, direct injection, compression ignition (ci) engine which is specialized in agriculture, have been investigated experimentally. for this aim, the influence of injection timing, load, engine speed on power, brake specific fuel consumption (bsfc), peak pressure (pp), nitrogen oxides (nox), carbon dioxide (co2), carbon mon...

Journal: :international journal of environmental research 2011
f. nejadkoorki s. baroutian

life style and life expectancy of inhabitants have been affected by the increase of particulate matter 10 micrometers or less in diameter (pm10) in cities and this is why maximum pm10 concentrations have received extensive attention. an early notice system for pm10 concentrations necessitates an accurate forecasting of the pollutant. in the current study an artificial neural network was used t...

Journal: :journal of agricultural science and technology 2012
m. r. amiryousefi m. zarei m. azizi m. mohebbi

pomegranate is an important iranian-native fruit, with many varieties cultivated. although the volume of data on the importance of pomegranates in human nutrition has increased tremendously in the last years, the physical properties of the pomegranate fruit during fruit maturity have not yet been studied in detail. thus, the present study aimed to evaluate changes in physical characteristics of...

Journal: :journal of chemical and petroleum engineering 2014
aliakbar heydari fazel dolati mojtaba ahmadi yasser vasseghian

in this study, activated sludge process for wastewater treatment in a refinery was investigated. for such purpose, a laboratory scale rig was built. the effect of several parameters such as temperature, residence time, effect of leca (filling-in percentage of the reactor by leca) and uv radiation on cod removal efficiency were experimentally examined. maximum cod removal efficiency was obtained...

ژورنال: اقتصاد مالی 2017

هدف پژوهش حاضر پیش‌بینی شاخص قیمت بورس اوراق بهادار تهران با استفاده از مدل شبکه عصبی هیبریدی مبتنی بر الگوریتم ژنتیک و جستجوی هارمونی است. مربوط‌ترین نماگرهای تکنیکی به عنوان متغیرهای ورودی و تعداد بهینه نرون در لایه پنهان شبکه عصبی مصنوعی با استفاده از الگوریتم‌های فراابتکاری ژنتیک و جستجوی هارمونی حاصل می‌گردد. مقادیر روزانه شاخص قیمت بورس اوراق بهادار تهران از تاریخ 1/10/91 الی 30/9/94 جهت ...

Journal: :Nano Research 2021

The unstructured data such as visual information, natural language, and human behaviors opens up a wide array of opportunities in the field artificial intelligence (AI). memory-centric neuromorphic computing (MNC) has been proposed for efficient processing data, bypassing von Neumann bottleneck current architecture. development MNC would provide massively parallel realizing cognitive AI edge we...

2013
Rudolf Volner Igor Černák

The term network intelligence is widely used in the field of communication security network. Many intelligent systems focus on a specific service, function, or device, and do not provide true end-to-end service network intelligence. True network intelligence requires more than a set of disconnected elements, it requires an interconnecting and functionally coupled architecture that enables the v...

Journal: :iranian journal of applied animal science 2014
s. ghazanfari

this study was conducted to investigate the prediction of growth performance using linear regression and artificial neural network (ann) in broiler chicken. artificial neural networks (anns) are powerful tools for modeling systems in a wide range of applications. the ann model with a back propagation algorithm successfully learned the relationship between the inputs of metabolizable energy (kca...

In the present work, an artificial neural network (ANN) model was used to study the quantitative structure retention relationship (QSRR) of retention index (RI) of some volatile compounds in natural cocoa and conched chocolate powder. Molecular structural descriptors are selected using genetic algorithm to construct the nonlinear QSRR models, kernel partial least squares PLS (KPLS) and Levenber...

2011
Stefano Cardanobile Stefan Rotter

Dynamic neuronal networks are a key paradigm of increasing importance in brain research, concerned with the functional analysis of biological neuronal networks and, at the same time, with the synthesis of artificial brain-like systems. In this context, neuronal network models serve as mathematical tools to understand the function of brains, but they might as well develop into future tools for e...

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