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74                                               Characteristic Properties by Examples



                                three compatible solutions s fulfilling Eq. 4.4, which is a bifurcation
                                with respect to the shift operation and a discontinuity with respect
                                to the mapping x      x  .

                                In view of the pure x   projection, the final stage could be interpreted
                                as “topological defect” (see Sec. 5.4). Obviously, this consideration is
                                relative and depends very much on further circumstances, e.g. infor-
                                mation embedded in further X components.



                          5.7 Summary


                          The construction of the parameterized associative map using approxima-
                          tion polynomials shows interesting and unusual mapping properties. The
                          high-dimensional multi-directional mapping can be visualized by the help
                          of test-grids, shown in several construction examples.
                             The structure of the prototypical training examples is encoded in the
                          topological order, i.e. the correspondence to the location (a) in the map-
                          ping manifold S. This is the source of curvature information utilized by
                          the PSOM to embed a smooth continuous manifold in X. However, in
                          certain cases input-output mappings are non-continuous. The particular
                          manifold shape in conjunction with the associative completion and its op-
                          tional partial distance metric allows to select sub-spaces, which exhibit
                          multiple solutions. As described, the approximation polynomials (Sec. 4.5)
                          as choice of the PSOM basis function class bears the particular advan-
                          tage of multi-dimensional generalization. However, it limits the PSOM
                          approach in its extrapolation capabilities. In the case of a low-dimensional
                          input sub-space, further solutions may occur, which are compatible to the
                          given input. Fortunately, they can be easily discriminated by their their

                          remote s location.
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