نتایج جستجو برای: ffnn

تعداد نتایج: 253  

Journal: :Atmospheric Measurement Techniques 2021

Abstract. In air quality research, often only size-integrated particle mass concentrations as indicators of aerosol particles are considered. However, the do not provide sufficient information to convey full story fractionated size distribution, in which different diameters (Dp) able deposit differently on respiratory system and cause various harm. Aerosol distribution measurements rely a varie...

2008
LIJIA REN XIUCHEN JIANG GEHAO SHENG

Because of increasingly common damage and thefts of the transmission towers, a new function is proposed to enhance the state maintenance of transmission lines. It relies on the monitoring of the high-voltage transmission towers to ensure the reliability and safety of the power grid operation. An approach which combines Independent Component Analysis (ICA) with neural network based on Particle S...

Journal: :Medicinal chemistry (Shariqah (United Arab Emirates)) 2009
M Saracoglu F Kandemirli

The structure-activity relationships (SAR) are investigated by means of the Electronic-Topological Method (ETM) followed by the Neural Networks application (ETM-NN) for a class of anti-cholinesterase inhibitors (AChE, 53 molecules) being pyridazine derivatives. AChE activities of the series were measured in IC(50) units, and relative to the activity levels, the series was partitioned into class...

ژورنال: :نشریه دانشکده فنی 2008
علیرضا سروش محمدرضا امین ناصری

این مقاله یک مدل شبکه عصبی تلفیقی برای پیش بینی پیک بار الکتریکی(plf) روزانه ارائه می کند. از آنجاییکه الگوهای مشابهی در داده‎های پیک بار وجود دارد، خوشه‎بندی داده‎ها دقت پیش‎بینی‎ها را افزایش خواهد داد. اکثر خوشه‎بندیهای ارائه شده در ادبیات بدون دلیل و صرفاَ شهودی بوده‎اند. در این مقاله، ما رویکرد جدیدی برای خوشه‎بندی داده‎ها با استفاده از دو نقشه خودسازمانده پیاپی ارائه می کنیم. یک شبکه عصبی پ...

Journal: :IEEE Photonics Journal 2022

Error vector magnitude (EVM) is a metric for assessing the quality of m-ary quadrature amplitude modulation (mQAM) signals. Recently proposed deep learning techniques, e.g., feedforward neural networks (FFNNs) -based EVM estimation scheme leverage fast signal monitoring in coherent optical communication systems. Such estimates from histograms (AHs) short sequences captured before carrier phase ...

Journal: :Ocean Science 2021

Abstract. To derive an optimal observation system for surface ocean pCO2 in the Atlantic Ocean and sector of Southern Ocean, 11 simulation experiments (OSSEs) were completed. Each OSSE is a feedforward neural network (FFNN) that based on different data distribution provides period 2008–2010 with 5 d time interval. Based geographical positions from three observational platforms, volunteering obs...

Journal: :Frontiers in Marine Science 2022

The Pacific Ocean is one of the important carbon sink regions, and there a significant west-east difference in sea-air CO 2 flux. However, influence long-standing greater uptakes western than east dynamic change this remain unclear. In paper, using gridded surface ocean p product constructed by stepwise FFNN algorithm, we reported an increasing flux from 0.41 PgC yr -1 1992 to 0.73 2020. This i...

Journal: :Inferensi: Jurnal Statistika 2022

Dalam kehidupan sehari-hari, perekonomian tak lepas dari kebutuhan akan uang. Terkait hal tersebut, dibutuhkan perencanaan pencetakan uang serta komposisi yang dicetak selama satu tahun kedepan oleh Bank Indonesia. Peramalan cash outflow dan inflow dapat digunakan untuk mengestimasikan masyarakat. Pada umumnya sering dijumpai permasalahan data deret waktu memiliki hubungan linier. Akan tetapi, ...

2013
David Granados-Lieberman Martin Valtierra-Rodriguez Luis Morales-Velazquez René de Jesús Romero-Troncoso Roque Alfredo Osornio-Rios

Power quality disturbance (PQD) monitoring has become an important issue due to the growing number of disturbing loads connected to the power line and to the susceptibility of certain loads to their presence. In any real power system, there are multiple sources of several disturbances which can have different magnitudes and appear at different times. In order to avoid equipment damage and estim...

2006
P. Georgieva

This paper is focused on issues of nonlinear dynamic process modeling and model-based predictive control of a fed-batch sugar crystallization process applying the concept of artificial neural networks as computational tools. The control objective is to force the operation into following optimal supersaturation trajectory. It is achieved by manipulating the feed flow rate of sugar liquor/syrup, ...

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