artificial neural networks in renewable energy systems

Neural Networks in Feedback Control Systems

Ngày tải lên : 07/03/2015, 04:05

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Estimation of Proper Strain Rate in the CRSC Test Using a Artificial Neural Networks

Ngày tải lên : 22/03/2013, 15:01

... for use in training and testing the neural network. A large training data reduces the risk of under-sampling the nonlinear function, but increases the training time. To improve training, preprocessing ... minmax min VV VV A − − = (4) Training was performed iteratively until the average of sum squared error over all the training patterns was minimized. Experiment were carried out using ... DESIGN ARTIFICIAL NEURAL NETWORK MODEL Neural networks are computer models that mimic the knowledge acquisition and organization skills of the human brain. Since, the characteristics of a neural...

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Artificial Neural Networks - a Useful Tool in Air Pollution and Meteorological Modelling pdf

Ngày tải lên : 29/03/2014, 21:20

... should be divided into several sets (training, testing, production, on-line, remaining). The training set is used to adjust the interconnection weights of the MPNN model. The testing set is used ... local minimum far from the global one. During the learning process, the network should be periodically tested on the testing set (not included in the training set) www.intechopen.com Artificial ... feedforward networks. Neural Networks 4, pp. 251-257 Kohonen, T. (1995). Self-organizing maps. Springer, Berlin Kurkova, V. (1992). Kolmogorov’s Theorem and Multilayer Neural Networks, Neural Networks, ...

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Báo cáo sinh học: " Research Article Automatic Modulation Recognition Using Wavelet Transform and Neural Networks in Wireless Systems" ppt

Ngày tải lên : 21/06/2014, 16:20

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Tài liệu Programming Neural Networks in JavaProgramming Neural Networks in Java will show the intermediate ppt

Ngày tải lên : 14/02/2014, 20:20

... particularly sure what final outcome is being sought. Neural networks are often employed in data mining do to the ability for neural networks to be trained. Neural networks can also be used ... Understanding Neural Networks Article Title: Chapter 2: Understanding Neural Networks Category: Artificial Intelligence Most Popular From Series: Programming Neural Networks in Java Posted: ... operator. Yet neural networks have a long way to go. Neural Networks Today Neural networks are in use today for a wide variety of tasks. Most people think of neural networks attempting to emulate...

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NEW DEVELOPMENTS IN RENEWABLE ENERGY pdf

Ngày tải lên : 07/03/2014, 11:20

... different roofing systems are being examined for their energy performance. All roofs are insulated with 5.1 cm (2.0 -in) of extruded polystyrene. Then the particular roofing combination being investigated ... living standards and sustaining economic growth, electricity supply infrastructures in many developing countries are being rapidly expanded. The book is divided into nineeight sections;: Energy ... heat-absorbing materials. Further, green roofs reduce summertime air conditioning demand by lowering heat gain to the building. Energy modeling (i.e., energy simulation) is a method for predicting the energy...

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ARTIFICIAL NEURAL NETWORKS – ARCHITECTURES AND APPLICATIONS doc

Ngày tải lên : 15/03/2014, 23:20

... of Neural Networks 163 Hazem M. El-Bakry Chapter 9 Applying Artificial Neural Network Hadron - Hadron Collisions at LHC 183 Amr Radi and Samy K. Hindawi Chapter 10 Applications of Artificial Neural ... method to realize flexible infor‐ mation processing. Neural networks consider neuron groups of the brain in the creature, and imitate these neurons technologically. Neural networks have some features, ... training examples needed, convergence to an attractor in a single step and geometric increase (rather than linear) in the number of classes with the number of nodes. The disadvantage is the increasing...

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Using Neural Networks in HYSYS pptx

Ngày tải lên : 23/03/2014, 02:20

... 1 Usin g Neural Networks in HYSYS Using Neural Networks in HYSYS â 2004 AspenTech. All Rights Reserved. Using Neural Networks in HYSYS.pdf 4 Usin g Neural Networks in HYSYS ... is included to check the quality of the Neural Network calculations. 9 Usin g Neural Networks in HYSYS Training the Neural Network The next step is to train the Neural Network using ... large errors. Neural Networks will not predict the effect of changes in variables not included in the training data. 12 Usin g Neural Networks in HYSYS Exercise Using the Parametric...

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GLOBAL TRENDS IN RENEWABLE ENERGY INVESTMENT 2011 docx

Ngày tải lên : 30/03/2014, 06:20

... $bn Figure 22: Financial new investment in renewable energy in non-OECD Asia (excluding China and India) by country, 2010, $bn Figure 23: Financial new investment in renewable energy in Africa by ... $bn Figure 20: Financial new investment in renewable energy in Italy by sector and asset class, 2010, $bn Figure 21: Financial new investment in renewable energy in Latin America (excluding Brazil) ... investment in renewable energy in China by sector and asset class, 2010, $bn Figure 17: Financial new investment in renewable energy in India by sector and asset class, 2010, $bn Figure 18: Financial...

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evaluating the impact of social networks in rural innovation systems pptx

Ngày tải lên : 01/04/2014, 11:21

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vehicle signal analysis using artificial neural networks

Ngày tải lên : 28/04/2014, 10:02

... training was completed, the validation test followed using the remaining data that were not used for training. Results of training and validation test are shown in Figure 11. Since data points ... Bridge since appropriate strain readings could be acquired for obtaining information about number of axles, speed and axle spacings of a vehicle. Also, appropriate strain readings for calculating ... Calculating an Influence Line from Direct Measurements. Proceedings of the ICE - Bridge Engineering, 2006, 159, 31-34. 7. McNulty, P.; O’Brien, E.J. Testing of Bridge Weigh -In- Motion System in a...

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a new type of structured artificial neural networks

Ngày tải lên : 28/04/2014, 10:06

... classes. Domains can be joined to form super-domains, of which the original domains are the subdomains. Sup e r-domains inherit the services and attributes of their subdomains. Multiple-inheritance is ... further processing as “reasoning”. These views offer a new interpretation of learning and meaning. The term energy used above refers to resources in general, including not just physical energy but ... animal learning. MMC offers a framework for constructing, combining, sharing, transforming and verifying ontolo- gies. We conclude that the MMC can serve as an effec- tive tool for neural modeling. But...

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audio to visual speech synthesis using artificial neural networks

Ngày tải lên : 28/04/2014, 10:06

... 40 seconds were used as training data for the networks. The remaining 10 seconds were used as a test set for the trained networks. The restricted amount of training data avaliable from each ... speech parameters. Neural networks have been shown to be efficient and robust learning machines which solve an input-output mapping and have been used in the past to perform similar mappings from acoustics ... cues used in our training studies [9, pp. 437-442] are included as outputs of the network. Furthermore, since the activation values of the networks output nodes are constrained to lie in the range...

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backpropagation artificial neural network in c++ - codeproject

Ngày tải lên : 28/04/2014, 10:10

... The binary floating point file format is expedient when you have a large amount of data. The data is saved in a separate file as a sequence of floating point numbers in binary format, using 4 ... 'arrow', pointing from the neuron in the previous layer, ANLink::poutput_neuron to the neuron in the next layer, ANLink::pinput_neuron. I organize a full connectionist neural network structure in this ... theory. In my code, I present the necessary features as input data preprocessing in the input layer with Minmax, Zscore, Sigmoidal, and Energy normalization. These parameters are obtained from...

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comparing neural networks in neuroph, encog and joone - codeproject

Ngày tải lên : 28/04/2014, 10:10

... take considerably more training iterations. We begin by creating a training set. TrainingSet trainingSet = new TrainingSet(2, 1); trainingSet.addElement(new SupervisedTrainingElement (new double[]{0, ... DynamicBackPropagation(); train.setNeuralNetwork(network); network.setLearningRule(train); We now begin to loop through training iterations, until we are trained to below 1%. int epoch = 1; do { train.doOneLearningIteration(trainingSet); ... the trained network’s results. System.out.println(" ;Neural Network Results:"); for(TrainingElement element : trainingSet.trainingElements()) { network.setInput(element.getInput()); ...

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neural networks in finance gaining predictive edge in the market [mcnelis p d ]

Ngày tải lên : 08/05/2014, 10:01

... the International Joint Conference on Neural Networks (IJCNN) meetings in Washington, DC, in 2001, and in Honolulu and Singapore in 2002. These meetings were eye-openers for anyone trained in ... polynomal. Neural Networks in Finance: Gaining Predictive Edge in the Market 8 1. Introduction The ﬁnancial sectors of emerging markets, in particular, but also in markets with a great deal of innovation ... forms in the neural network literature. 2.4.2 Squasher Functions The neurons process the input data in two ways: ﬁrst by forming linear combinations of the input data and then by “squashing”...