1 / 16

On Some Characteristics of the New Generation Computers

On Some Characteristics of the New Generation Computers. Oleg N. Granichin (oleg_granitchin@mail.ru) Sergey S. Sysoev (sysoev_s@mail.ru). The Computer Generations. 1. 2. 3. 4. ?. 5. Qualitative Generations Leaps. Task oriented machines.

tylercarr
Download Presentation

On Some Characteristics of the New Generation Computers

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. On Some Characteristics of the New Generation Computers Oleg N. Granichin (oleg_granitchin@mail.ru) Sergey S. Sysoev (sysoev_s@mail.ru)

  2. The Computer Generations 1 2 3 4 ? 5

  3. Qualitative Generations Leaps Task oriented machines. Operating Systems, multitasking, Universal Computer, HLL

  4. What Is Next? The Intelligent System

  5. One Approach of Creating the Intelligent System The Internal Part The External Part

  6. Intelligent Choice … Task 1 Task 2 Task N … Device N Device 1 Device 2

  7. The Internal Part Conditions • For each considered particular task the system has the particular device which is able to optimize the solving of this task by an appropriate choosing the system parameter from some final set. • Information from external world must be delivered to all such devices simultaneously.

  8. The Internal Part Implementation Example

  9. Informational Resonance

  10. Possible Resonance Situations • One and only one device has resonance • Several devices have resonance • None of the devices has resonance (the system parameters have to be adjusted)

  11. The System Parameters Set

  12. Optimization Task The function F has its minimum (or maximum) when the system has resonance, x – the system parameters, w – the stochastic parameter, obtained from the real world.

  13. The Kiefer-Wolfowitz Procedure

  14. The SPSA Algorithm

  15. The SPSA Grounds

  16. Advantages of the SPSA Algorithm • Only one measurement of loss function per iteration needed • Convergence with probability 1 with all kinds of disturbance • The best convergence speed characteristics • Allows tracking

More Related