Application of neural network and Levenberg–Marquardt algorithm for electrical grid planning
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چکیده
منابع مشابه
Application of Artificial Neural Network and Genetic Algorithm for Predicting three Important Parameters in Bakery Industries
Farinograph is the most frequently used equipment for empirical rheological measurements of dough. It’suseful to illustrate quality of flour, behavior of dough during mechanical handling and texturalcharacteristics of finished products. The percentage of water absorption and the development time of doughare the most important parameters of farinography for bakery industries during production. H...
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today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...
application of artificial neural network and genetic algorithm for predicting three important parameters in bakery industries
farinograph is the most frequently used equipment for empirical rheological measurements of dough. it’suseful to illustrate quality of flour, behavior of dough during mechanical handling and texturalcharacteristics of finished products. the percentage of water absorption and the development time of doughare the most important parameters of farinography for bakery industries during production. h...
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ساخت الکترودهاِی اصلاح شده ِیکِی از چالشهاِی همِیشگِی در دانش شیمِی بوِیژه شیمِی تجزیه مِی باشد ،که با در نظر گرفتن سادگِی ساخت، کاربردی بودن و ارزان بودن روش مِی توان به باارزش بودن چنِین سنسورهاِی پِی برد.آنچه که در ادامه آورده شده به ساخت و کاربرد الکترودهاِی اصلاح شده با استفاده از نانو ذرات در اندازه گِیرِی ولتامترِی آهن وکادمِیم اشاره دارد. کار اول اختصاص دارد به ساخت الکترود خمِیر کربن اصلاح شده با لِیگاند داِ...
15 صفحه اولOptimization of Material Removal Rate in Electrical Discharge Machining Alloy on DIN1.2080 with the Neural Network and Genetic Algorithm
Electrical discharge machining process is one of the most Applicable methods in Non-traditional machining for Machining chip in Conduct electricity Piece that reaching to the Pieces that have good quality and high rate of machining chip is very important. Due to the rapid and widespread use of alloy DIN1.2080 in different industry such as Molding, lathe tools, reamer, broaching, cutting guillot...
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ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2017
ISSN: 1757-8981,1757-899X
DOI: 10.1088/1757-899x/263/6/062039