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1. George Eliot was the pseudonym of Mary Ann Evans.

2. I'd like you to meet Ann Gregory, my deputy.

3. Ann hit the sandbag with her fist.

4. Ann stopped in front of the house.

5. Ann and I never seem to agree.

6. Ann makes delicious pastry - you should try her apple pie.

7. When Ann arrived home that night, she found Brian in the house watching TV.

8. Ann Bradley dispels the old wives' tales and gives the medical facts.

9. Mary Ann had made an effort at jazzing up the chilly modern interiors.

10. Ann and Joe aren't talking to each other right now .

11. I'm going as a favour to Ann, not because I want to.

12. The question came out of left field, but Mary Ann wasn't really surprised.

13. Molly had cringed when Ann started picking up the guitar.

14. Ann rides the bus to work.

15. Ann had heard enough of this.

16. Ann and Robert seem made for each other.

17. Ann rationed out the cake between the children.

18. It seems foolish not to give Ann her freedom, if that's what she really wants.

18. Sentencedict.com try its best to collect and build good sentences.

19. Ann then sailed in with a furious attack on the chairman.

20. At exactly five minutes to nine, Ann left her car and entered the building.

21. Did he enjoy Anns party?

22. Anns bedroom is above the living room.

23. The Optimization of Initial Weights of ANNs Based on Improved Genetic Algorithms.

24. The parallel architecture also allows ANNs to process very large amounts of data very efficiently.

25. In this thesis, the feasible criteria of several ANNs to criticize existence of the unique global exponential stable equilibrium.

26. In this paper, ANNs are applied to study of the bandgap characteristic of DGS.

27. Many handwriting analysis programs ( such as those used in popular PDAs ) are powered by ANNs.

28. Simulation results show that this optimization method is efficient for selecting ANNs structures.

29. We dealt with low - nonlinear problem by Artificial Neural Networks ( ANNs ) using standard back - propagation ( BP ).

30. Inspired from modular programming, we proposed a module based evolutionary programming of ANNs, which puts emphasis on inheriting from the learned networks of small scale problem.