This is the benchmark data for n = 4, d = 4, s = 4 from Sprott's vector neural net code (filename collectv.bas) The weights below were generated as follows: for i = 1 to n for j = 0 to d print w(i, j) print b(i, j) next j next i Note: there is a w for j = 0 by no b for j = 0 Initial conditions were taken as x(i) = 0.5 for i = 1 to d VALUES OF w AND b: -1.161204 0 -.561551 .1636758 5.066455 .2757667 7.139109 9.563043E-2 -5.131825 8.334725E-2 9.370738E-2 0 -5.116127 2.233952E-2 4.733435 .3650303 -8.787042 .355971 -.8605409 .4066904 4.888542 0 -4.576682 .5034996 7.925086 .1963863 -5.740646 .2648118 3.809366 .4218021 2.468891 0 2.116171 .3104851 -3.889002E-2 .1628166 -2.105793E-2 .2835867 .5917256 8.816015E-2 LARGEST LE = .212729731599131 OUTPUT: x(1) x(2) x(3) x(4) .5 .5 .5 .5 .95010921332774 .261576636914179 .284946418359582 .18407359112819 .858674945503945 .151071048219747 .233548677742048 .126288540263867 .744399870852167 5.47323687185053E-3 .168885590853166 5.62133051524398E-2 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