Neural Networks Control Systems

Simplify Data Backup and Protection in Complex Enterprise IT Environments
Artificial neural networks , Control systems , Feedback control , Neural Backup of enterprise information and associated data protection are fragmented, complex, and inefficient. But new approaches are helping to simplify the data-protection process, keep costs in check, and improve recovery speed and confidence. If you look back 20 years ago, we had heterogeneous environments, but they were much simpler. There were NetWare and UNIX, and there was this new thing called Windows. Virtualization didn’t even really exist. We backed up data to tape, and a lot of data was in terabytes, not petabytes. Flash forward to 2012, and there’s more heterogeneity than ever. You have stalwart databases like Microsoft SQL Server and Oracle, but then you have new apps being built on MySQL. You now have virtualization, and, in fact, we're at the point this year where we're surpassing the 50 percent mark on the number of servers worldwide that are virtualized.

read more

Source: Latest News from XML Journal

You might also like:

ELSC-ICNC Seminar: Christian Broberger
ELSC-ICNC Seminar: Christian Broberger
Paper ADF-01 Falken and ASF-X Shinden II
Paper ADF-01 Falken and ASF-X Shinden II
SCADA Goal Technologies
SCADA Goal Technologies

Stock market analysts on trial

2002-02-09 14:24:25 by on-trial

The amount of poor and self-interested advice that is being issued by brokerages and their analysts. To this day, the majority of stockbrokers are compensated on the number of trades their customers make, not on the returns they generate for them or on the quality of the advice they provide. We believe that the price targets and analyst ratings are made with several masters in mind, none of whom are the individual investor. In a similar fashion, sell-side stock analysts are generally compensated based upon the overall profitability of their firms, not the quality or accuracy of their analysis. In the end, analysts have minimal structural incentive to be accurate in their predictions; rather their built-in incentive is to be as favorable to their corporate clients as possible. It is a...

Gurus' Results Stay Consistently Bad  — Forbes
Investment gurus make their money selling market predictions, not following them. Their overall performance has been historically and consistently dismal. Why people pay for market predictions is a one of Wall Street's biggest mysteries.

Springer Neural Information Processing: 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part III (Lecture Notes ... Computer Science and General Issues)
Book (Springer)

Related posts:

  1. Neural networks expert system
  2. Neural network systems
  3. Neural networks for stock
  4. Neural Networks for Business