By Prateek Agrawal, Anupam Shukla, Ritu Tiwari (auth.), Wen Yu, Edgar N. Sanchez (eds.)
This booklet constitutes the court cases of the second one overseas Workshop on complicated Computational Intelligence (IWACI2009), with a sequel of IWACI 2008 effectively held in Macao, China. IWACI2009 supplied a high-level overseas discussion board for scientists, engineers, and educators to give cutting-edge examine in computational intelligence and similar fields.
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The input parameters of our data set were comprised of several data types like ‘Date’ values, ‘String’ values and Numerical values. So, before inputting the data in to the supervised neural network, we had to convert all the data types into numerical values . Different algorithms were used for different data types in order to convert them into numerical values. In dealing with ‘Date’ data type, first, the day of the year of each and every ‘Date’ value was calculated and then number of occurrences of that day of the year value in the given data set was taken as the numerical value for the particular ‘Date’ value.
Artificial neural networks for non-stationary time series. Neurocomputing 61, 439–447 (2004) 3. : Research on the condition monitoring and forecasting for large rotating machine (in Chinese). D thesis of Xi’an Jiaotong University, Xi’an China (1998) 4. : Forecasting theory based on neural network and it’s application (in Chinese). D thesis of Xi’an Jiaotong University, Xi’an China (1994) 5. : Local Learning Algorithms. Neural Computation 4, 888–900 (1992) 6. : Predicting time series with a local support vector regression machine.
In that manner the highest occurred day of the year in a certain input parameter was given the highest weight compared to other days of the year. For ‘String’ data type, the number of occurrences of a certain ‘String’ value was taken as the respective numerical value of the ‘String’ value. Since, the number of occurrences of a specific ‘String’ value of data, is a variable with time, the normalized numeric value corresponding to that ‘String’ value is also a variable with time. So, this causes the selling probability value for same combination of input values a variable with time.