A New Hierarchical Temporal Memory Algorithm Based on Activation Intensity

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Parameter name</td><td class="align_center">Value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Number of hidden layer</td><td class="align_center">32</td></tr><tr><td class="align_left">Learning rate</td><td class="align_center">0.001</td></tr><tr><td class="align_left">Mini-batch</td><td class="align_center">64</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Model parameters for the LSTM network.</div>

Computational Intelligence and Neuroscience

tab2

Table 2

Table 2: A New Hierarchical Temporal Memory Algorithm Based on Activation Intensity 