نتایج جستجو برای: feed forward neural network

تعداد نتایج: 987291  

Journal: :International Journal of Computer Applications 2016

Journal: :Indonesian Journal of Electrical Engineering and Computer Science 2019

Journal: :Journal of Electrical Engineering and Technology 2009

Journal: :International Journal of Computer Applications 2016

معظمی, مجید , هوشمند, رحمت‌الله ,

In a daily power market, price and load forecasting is the most important signal for the market participants. In this paper, an accurate feed-forward neural network model with a genetic optimization levenberg-marquardt back propagation (LMBP) training algorithm is employed for short-term nodal congestion price forecasting in different zones of a large-scale power market. The use of genetic algo...

2006
Feyzullah TEMURTAŞ Nejat YUMUŞAK

In this study, the method to apply the feed forward neural networks with two different numbers of hidden layers for harmonic detection process in active filter are described. We have simulated the distorted wave including 5th, 7th, 11th, 13th harmonics and used them for training of the neural networks. The distorted wave including up to 25th harmonics were prepared for testing of the neural net...

2014
Ramaprasad Panda Pradyumna Kumar Sahoo Prasanta Kumar Satpathy Subrata Paul

In this paper, critical conditions in electric power systems are monitored by applying various neural networks. In order to accomplish the stated goal, the authors tried several combinations of Feed Forward Neural Network and Layer Recurrent Neural Networks by imparting appropriate training schemes through supervised learning in order to formulate a comparative analysis on their performance. On...

2000
Vinicius M. De Oliveira Edson Roberto De Pieri Walter F. Lages

Journal: :archives of hygiene sciences 0
hossein jafari mansoorian environmental health engineering research center, department of environmental health engineering, school of health, kerman university of medical sciences, kerman, iran mostafa karimaee kerman university of medical sciences mahdi hadi semnan university of medical science elaheh jame porazmey tehran university of medical science farzan barati tehran university of medical science mansour baziar department of environmental health engineering, school of health, tehran university of medical science, tehran, iran

background & aims of the study: a feed forward artificial neural network (ffann) was developed to predict the efficiency of total petroleum hydrocarbon (tph) removal from a contaminated soil, using soil washing process with tween 80. the main objective of this study was to assess the performance of developed ffann model for the estimation of   tph removal. materials and methods: several indepen...

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