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References [18, 19] figured out that BPNN encounters low efficiency issue due to large number of sum and sigmoid calculations.
For processing one instance, overhead occurs in both training and classification phases due to a large number of sum and sigmoid calculations existing in the network.
Fig. 12 Mutual information between postsynaptic response and number of sum of preceding inter-spike intervals in the control and muscarine cases under 5 Hz Poisson stimulation Fig. 13 Information between postsynaptic response and number of sum of preceding inter-spike intervals in control and muscarine cases under 50 Hz Poisson stimulation.
On the basis of numerical calculations, we can state that limiting the number of sum elements to 15 is sufficient, as the next element does not change the result by more than 0.05%.
This constant time is achieved as, for all 1 ≤ i ≤ N, coordinate x i S can be computed from coordinate x i - 1 S as in Eq. (5) by a fixed number of sum operations.
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The number of sums per information bit is equal to TC M).
This is illustrated in Figure 2, where to produce a homogeneous background, the number of summed frames is different for each row: 17,19,21,24,28 and 33, respectively.
For the IgGs1, sequence coverage comparable to the previous results was achieved in a two-fold reduced number of summed transients, which corresponds, taken together with the significantly increased spectra acquisition rate, to ~ six-fold improvement in analysis time.
This measure is defined by considering the total number of sums and comparisons in M as well as the respective computational cost (complexity) of the implementation of these arithmetical operations using a given digital signal processor.
The Shapley Folkman lemma suggests that if the number of summed sets exceeds the dimension of the vector space, then their Minkowski sum is approximately convex.
Four outcomes are possible, based on the number of summed points supporting and refuting the hypothesis.
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