# Polynomial Regression As an Alternative to Neural Nets

**URL:** <https://discourse.numenta.org/t/polynomial-regression-as-an-alternative-to-neural-nets/4056>\
**Category:** Lounge\
**Created:** [June 19, 2018, 2:21pm UTC](https://discourse.numenta.org/t/polynomial-regression-as-an-alternative-to-neural-nets/4056 "2018-06-19T14:21:03Z")\
**Posts on this page:** 1\
**Showing post:** 7

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**Author:** ![Gary\_Gaulin](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.numenta.org/gary_gaulin/32/2248_2.png) [@Gary\_Gaulin](https://discourse.numenta.org/u/Gary_Gaulin)\
**Post date:** [June 30, 2018, 5:14am UTC](https://discourse.numenta.org/t/polynomial-regression-as-an-alternative-to-neural-nets/4056/7 "2018-06-30T05:14:18Z")

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> [@Sean\_O\_Connor](#):
>
> Training with evolutionary algorithms maybe you can get an even a smarter network with internal logic and linkage of concepts.

Evolutionary algorithms are a good thing to have in some way experimented with, or at least understand. But for myself and Numenta we have to start from biology where the ultimate goal is to model what biological brains are actually made of that nibble off synapses, battle invading cells, and exchange RNA and DNA on into the reproductive system.

[https://www.lovetoscience.com/2018/03/microglia-help-synapses-grow-and-rearrange-embl-researchers-show.html](https://www.lovetoscience.com/2018/03/microglia-help-synapses-grow-and-rearrange-embl-researchers-show.html)

Also:

[https://tmrwedition.com/2018/06/27/interview-with-microglia-expert-prof-beth-stevens/](https://tmrwedition.com/2018/06/27/interview-with-microglia-expert-prof-beth-stevens/)

Further modeling in genetic detail makes it possible to do away with a “fitness function” and other problems like when their timer runs out they no longer exist as food for others that may have hunting them down because they needed something to eat.

The question here has to be: how do we most easily model (among other things) autonomous mobile virtual microglia to do the pruning?

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