research aim :
- The research aimed to investigate the effect of two treatment
methods in the gaining of fourth grade students in geography
object.
- Research hypothesis
there are no statistically significant differences at the level of ( 0.05 )
in the average level of achievement in geography between the first
experimental group ( strengthening lessons ) and the second group
( re- teaching )
no individual differences statically significant at the level of ( 0.05 )
in the average level achievement in geography object of the second
experimental group ( re- teaching ) and the first experimental group
( strengthening lesson )
the research sample : the researcher selected randomly Baghdad
secondary for girls to represent the research community , which
return to the second directorate of Rusafa , and the number of
students assembled for the two research groups (67 ) student the
experience applied on them .
the result cause a rejection of hull hypothesis this means that the
student of first experimental group were succeeded , which were
studied by strengthen lessons on the second group which used the
method of re-teaching . These results are attributed to one or more
of the following reasons:
1- The steps that followed in teaching geography in the method of
strengthen lessons had attracted the minds of the first experimental
group and increased their interest in the article and to follow up the
object.
2- the use of the technique has move the psychological motives toward
the object which make them thinking , remembering and working
on production ideas reach them to the right results , and
deportation them of concern and collective laziness and walk
together in lesson .
The proposed design of neural network in this article is based on new accurate approach for training by unconstrained optimization, especially update quasi-Newton methods are perhaps the most popular general-purpose algorithms. A limited memory BFGS algorithm is presented for solving large-scale symmetric nonlinear equations, where a line search technique without derivative information is used. On each iteration, the updated approximations of Hessian matrix satisfy the quasi-Newton form, which traditionally served as the basis for quasi-Newton methods. On the basis of the quadratic model used in this article, we add a new update of quasi-Newton form. One innovative features of this form's is its ability to estimate the energy functio
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