I find that a good resource is Neural Network Modeling - Course Notes by SAS Publications.

MLPs without a skip layer are inherently stationary models, therefore, their forecasting performance is expected to be poor when applied to nonstaionary data, that is data in which the trend or variability in the data changes over time. If a skip layer is included, then the NN model accommodates for nonstationarity. However, nonstaionary models can show unstable and explosive behavior. In other words, it is recommended to include a skip layer in the neural network design in order to model time series data in which your input variables are the lag values of the response variable over time.

To obtained information from external source to locate patterns among transactional, demographic and behavioral data.

Dear Atul:

Thank you for your interest in my Neural Network Using SAS Enterprise Miner book. My book can be purchased through AuthorHouse in the United States. Otherwise, you can purchased a used copy thorugh Amazon.com. If you are still having difficulties purchasing my book, then please feel free to email me at [email protected] and I might be able to help you...

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Sincerely,

Randall

Hi Atul.

Yes, i know Prof. Bala Bhaskaran in person. Good professor.

You can reach me at: [email protected]

--SURYA

Oh,

I know Prof. Bala Bhaskaran & Dr. Rajan Saxena. I met them many times in conferences in Hyderabad and Faculty meets. I worked in ICFAI Business School Hyderabad for 4 years as a Professor - Statistics & Business Intelligence. My students at IBS Hyderabad are still in touch with me.

Nice to see that you are from IBS. Please keep in touch.

regards

SURYA

Hi Atul,

where are you studying? which campus?

Regards

Surya