[Sandbox] WTM (temporal Waveform memory) – a neural network model for solving the problem of adaptive behavior

Present for the consideration of abrollsoftware a neural network model developed to solve the problem of adaptive behavior (and its subtasks: recognition and prediction sequences).
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The analysis of catastrophes. The result

I found not really a complex way to estimate the number of shifts between the series of disasters.


The sample was the best – took only what was promised success. The result is negative.
Yes, the familiar cycles are visible – and the cycle of Halley, and the cycle of Uranium, but they barely stand out from the masses.


Almost not allocated.
CONCLUSIONS:
1. In the Old World of the disaster shifted to the past from numerological considerations
2. In the colonies shifts probably expressed better – there was discarded dates geographical discoveries
3. Because relationships between the series of catastrophes there are, they must be considered as they are – without numerology

Translated by Yandex Translate

The analysis of catastrophes. The result

I found not really a complex way to estimate the number of shifts between the series of disasters.


The sample was the best – took only what was promised success. The result is negative.
Yes, the familiar cycles are visible – and the cycle of Halley, and the cycle of Uranium, but they barely stand out from the masses.


Almost not allocated.
CONCLUSIONS:
1. In the Old World of the disaster shifted to the past from numerological considerations
2. In the colonies shifts probably expressed better – there was discarded dates geographical discoveries
3. Because relationships between the series of catastrophes there are, they must be considered as they are – without numerology

Translated by Yandex Translate