application of back-propagation neural network in data forec

... Networks Post-processing Pre-processing Figure 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 ... CONTENT CONTENT Introduction Introduction Steps in data forecasting modeling Steps in data forecasting modeling using neural network using...

Ngày tải lên: 28/04/2014, 10:18

... 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 ... b=3 The minimal number of parameters to start a training session: >ann1dn.exe t network. nn data1 _file data2 _file 1000 It will use the network. nn file as a neural network,...

Ngày tải lên: 28/04/2014, 10:10

... 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 flexible manufacturing system using fuzzy logic, IEA-AIE96 Ninth International Conference on Industrial and Engineering Application of Artificial Intelli...

Ngày tải lên: 17/12/2013, 06:15

... risk of being left behind. Simply, CRM is a high-tech way of gathering mou- ntains of information about customers, then using it to make customers happy—or at least a source of more business. ... discussed below. Intelligent agents and KM Intelligent agents are useful in automating repeti- tive tasks, finding and filtering information, and intelligently summarizing complex data (Mur...

Ngày tải lên: 24/01/2014, 00:20

... 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...

Ngày tải lên: 14/02/2014, 16:20

... interval of 15 gen. and rate of 0.1 Reinsertion of offsprings with elitism Evaluation of offsprin g s (Eq.3) Binary mutation with rates 0.02 and 0.04 Recombination of parents using double point ... the forecasting point) of a forecasted pollutant, given an input vector containing earlier air quality measurements at T+0 h and weather observations at T+24 h (simulating a weather...

Ngày tải lên: 17/02/2014, 22:20

Ngày tải lên: 17/03/2014, 16:20

... Discriminative Training of a Neural Network Statistical Parser James HENDERSON School of Informatics, University of Edinburgh 2 Buccleuch Place Edinburgh EH8 9LW United Kingdom james.henderson@ed.ac.uk Abstract Discriminative ... necessary to choose the top parses dur- ing training, and helped focus the early stages of training on learning relevant discriminations. Once the traini...

Ngày tải lên: 23/03/2014, 19:20

Ngày tải lên: 28/04/2014, 10:16

... 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, an...

Ngày tải lên: 06/11/2012, 10:35