Echo state network, why does it matter the order of the data when memorizing a sequence?

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Cameron Smith
Cameron Smith 2020-4-5
I've got an echo state network an using it to memorize a sequence of binary vectors. To memorize it I am offsetting the data by one on the output. However the number of nodes and iterations changes massively depending on which way I offset the data. For example if I offset the output as follows it converges really quickly with not too many nodes:
Input = [ho,h1,h2,.....hn]
output = [hn,ho,h1,.....hn-1]
but if i set the output to
[h1,h2,h3,......ho] then it takes too long to converge, why is this?
Thanks in advance

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