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	<title>Herself's Artificial Intelligence &#187; neural networks</title>
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	<link>http://herselfsai.com</link>
	<description>Humans, meet your replacements.</description>
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		<title>Wavelets</title>
		<link>http://herselfsai.com/2008/07/wavelets.html</link>
		<comments>http://herselfsai.com/2008/07/wavelets.html#comments</comments>
		<pubDate>Mon, 28 Jul 2008 05:00:40 +0000</pubDate>
		<dc:creator>Linda MacPhee-Cobb</dc:creator>
				<category><![CDATA[artificial intelligence in the news]]></category>
		<category><![CDATA[neural networks]]></category>
		<category><![CDATA[mathematics]]></category>

		<guid isPermaLink="false">http://www.herselfsai.com/?p=224</guid>
		<description><![CDATA[I hadn&#8217;t heard anything about wavlets in several years and then this news story caught my eye. . . .Meningiomas are tumours of the brain and nervous system and they account for 20% of all brain tumours. Doctors have a major problem of discriminating between the four different subtypes of meningiomas but doctors face three [...]]]></description>
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		<title>Hopfield Networks</title>
		<link>http://herselfsai.com/2007/03/hopfield-networks.html</link>
		<comments>http://herselfsai.com/2007/03/hopfield-networks.html#comments</comments>
		<pubDate>Tue, 13 Mar 2007 12:00:00 +0000</pubDate>
		<dc:creator>Linda MacPhee-Cobb</dc:creator>
				<category><![CDATA[neural networks]]></category>
		<category><![CDATA[source code]]></category>
		<category><![CDATA[topics in artificial intelligence]]></category>
		<category><![CDATA[things you should know]]></category>

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		<description><![CDATA[John Hopfield, in the late 1970&#8242;s, brought us these networks. These networks can be generalized and are robust. These networks can also be described mathematically. On the downside they can only store 15% as many states as they have neurodes, and the patterns stored must have Hamming distances that are about 50% of the number [...]]]></description>
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		<title>Backpropagation Networks</title>
		<link>http://herselfsai.com/2007/03/backpropagation-networks.html</link>
		<comments>http://herselfsai.com/2007/03/backpropagation-networks.html#comments</comments>
		<pubDate>Mon, 12 Mar 2007 12:00:00 +0000</pubDate>
		<dc:creator>Linda MacPhee-Cobb</dc:creator>
				<category><![CDATA[neural networks]]></category>
		<category><![CDATA[source code]]></category>
		<category><![CDATA[topics in artificial intelligence]]></category>
		<category><![CDATA[things you should know]]></category>

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		<description><![CDATA[Forward Feed Back Propagation networks (aka Three Layer Forward Feed Networks) have been very successful. Some uses include teaching neural networks to play games, speak and recognize things. Backpropagation networks can be used on several network architectures. The networks are all highly interconnected and use non-linear transfer functions. The network must have at minimum three [...]]]></description>
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