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application of back-propagation neural network in data forec

application of back-propagation neural network in data forec

application of back-propagation neural network in data forec

... NetworksPost-processingPre-processingFigure 1: Data Processing. Steps in data forecasting modeling using neural network Steps in data forecasting modeling using neural network The works involved in are:* Data ... CONTENTCONTENTIntroductionIntroductionSteps in data forecasting modeling Steps in data forecasting modeling using neural network using neural network Determine network s topologyDetermine network s topology Application ApplicationConcluding ... layerLAYERclassfriend Application Application Application of Application of Back-Propagation neural Back-Propagation neural network in data forecasting network in data forecastingLe Hai Khoi,...
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backpropagation artificial neural network in c++ - codeproject

backpropagation artificial neural network in c++ - codeproject

... The binary floating point file format is expedient when you have a large amount of data. The data is saved in aseparate file as a sequence of floating point numbers in binary format, using 4 ... b=3The minimal number of parameters to start a training session:>ann1dn.exe t network. nn data1 _file data2 _file 1000It will use the network. nn file as a neural network, and load data form data1 _file ... support a large amount of data vectors, I provide File Mappingbased data load. That allows to map your hundreds of megs of training data to memory in 1 msec and start yourtraining session immediately....
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Tài liệu Application of Fuzzy Set Theory in Flexible Manufacturing System Design pptx

Tài liệu Application of Fuzzy Set Theory in Flexible Manufacturing System Design pptx

... Minimizing lateness/tardiness• Minimizing makespan• Maximizing system/machine utilization• Minimizing WIP (work in process)• Maximizing throughput• Minimizing average flow time• Minimizing ... Simulation of scheduling rules in a flexiblemanufacturing system using fuzzy logic, IEA-AIE96 Ninth International Conference on Industrialand Engineering Application of Artificial Intelligence ... option, the following goals are to be achieved:1. Minimizing number of jobs in queue.2. Minimizing job allocation cost.3. Minimizing lead time through the system.4. Balancing machine utilization.Not...
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Tài liệu Application of Knowledge Management Technology in Customer Relationship Management pptx

Tài liệu Application of Knowledge Management Technology in Customer Relationship Management pptx

... risk of being left behind.Simply, CRM is a high-tech way of gathering mou-ntains of information about customers, then usingit to make customers happy—or at least a source of more business. ... discussed below.Intelligent agents and KMIntelligent agents are useful in automating repeti-tive tasks, finding and filtering information, andintelligently summarizing complex data (Murchand ... onbehalf of human users to perform laborious androutine tasks such as locating and accessing neces-sary information, resolving inconsistencies in theretrieved information, filtering away irrelevantand...
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Tài liệu A Backpropagation Neural Network for Computer Network Security doc

Tài liệu A Backpropagation Neural Network for Computer Network Security doc

... neurons in the output layer. Figure 1 shows the architecture of the neural network. To implement our neural network we used the Neural Network Toolbox in MATLAB. At the beginning of the learning ... and making it available for use. The use of neural network offers the Input-Output Mapping property and capability[2,5-9]. The ANNs learning algorithms can be divided into two main groups ... previously applied training example may be reapplied during the training session but in a difference order. Thus the network learns from the examples by constructing an input-output mapping for the...
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Tài liệu Evolving the neural network model for forecasting air pollution time series pdf

Tài liệu Evolving the neural network model for forecasting air pollution time series pdf

... interval of 15 gen. andrate of 0.1Reinsertion of offsprings with elitismEvaluation of offsprings (Eq.3)Binary mutation withrates 0.02 and 0.04Recombination of parents using double point ... the forecastingpoint) of a forecasted pollutant, given an input vectorcontaining earlier air quality measurements at T+0 hand weather observations at T+24 h (simulating aweather forecast). In ... therange of 1–31 on a layer, the number of hidden layerswas one or two, and network inputs (the number of inputs varied 1–49) exist (Fig. 1). The Gray coding2wasused in the encoding of number of...
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Báo cáo khoa học:

Báo cáo khoa học: "Discriminative Training of a Neural Network Statistical Parser" pdf

... Discriminative Training of a Neural Network Statistical ParserJames HENDERSONSchool of Informatics, University of Edinburgh2 Buccleuch PlaceEdinburgh EH8 9LWUnited Kingdomjames.henderson@ed.ac.ukAbstractDiscriminative ... necessary to choose the top parses dur-ing training, and helped focus the early stages of training on learning relevant discriminations.Once the training of these networks was com-plete, we tested ... total jointprobability of the incorrect parses by makingthese parses be worse predictors of the words in the sentence.4The combination of training thecorrect parses to be good predictors of the...
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A methodology for validation of integrated systems models with an application to coastal-zone management in south-west sulawesi

A methodology for validation of integrated systems models with an application to coastal-zone management in south-west sulawesi

... paradigm’ in Thomas Kuhn’s (Kuhn, 1970) point of view. In view of the above investigation, integration is tentatively interpreted as an act or a process of joining or combining something with ... five different types of integration within the framework of Integrated Assessment Modelling (IAM). These are integrations of disciplines, of models, of scales, of issues, and of stakeholders. Scrase ... something else. The integrated approach is a way of perceiving and solving problems by integrating information, scientific disciplines, tools, interests and other aspects in a systemic way in...
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