Rober-t / apxr_run

A topology and parameter evolving universal learning network.
Apache License 2.0
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src/agent_mgr/signal_aggregator.erl has "The are many other", should do "There are many other" #2

Open ETERNALBLUEbullrun opened 5 months ago

ETERNALBLUEbullrun commented 5 months ago

https://github.com/Rober-t/apxr_run/blob/master/src/agent_mgr/signal_aggregator.erl 0001-The-are-many-other-There-are-many-other.patch Above Git patch, or below diff fix

diff --git a/src/agent_mgr/signal_aggregator.erl b/src/agent_mgr/signal_aggregator.erl
index c903663..2e73abc 100644
--- a/src/agent_mgr/signal_aggregator.erl
+++ b/src/agent_mgr/signal_aggregator.erl
@@ -34,9 +34,9 @@
 %%%      composes the scalar value by aggregating the input vectors, and then
 %%%      calculating the dot product of the input vectors and the synaptic
 %%%      weights. Another way to calculate a scalar value from the input and
-%%%      weight vectors is by multiplying the corresponding input signals by
+%o%%      weight vectors is by multiplying the corresponding input signals by
 %%%      their weights, but instead of adding the resulting multiplied values,
-%%%      we multiply them. The are many other types of aggregation functions
+%%%      we multiply them. There are many other types of aggregation functions
 %%%      that could be created. We can also add normalizer functions, which
 %%%      could normalize the input signals. The normalizers could be
 %%%      implemented as part of the aggregator functions, although it
@@ -145,4 +145,4 @@ mult_product([], [], Acc) ->
 mult([I | Input], [{W, _LPs} | WeightsP], Acc) ->
   mult(Input, WeightsP, I * W * Acc);
 mult([], [], Acc) ->
-  Acc.
\ No newline at end of file
+  Acc.