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📄 optann.html

📁 遗传算法和神经网络结合
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2//EN"><HTML><HEAD>	<META HTTP-EQUIV="CONTENT-TYPE" CONTENT="text/html; charset=iso-8859-1">	<TITLE></TITLE>	<META NAME="GENERATOR" CONTENT="StarOffice/5.2 (Linux)">	<META NAME="AUTHOR" CONTENT=" ">	<META NAME="CREATED" CONTENT="20000815;15522200">	<META NAME="CHANGEDBY" CONTENT=" ">	<META NAME="CHANGED" CONTENT="20000816;16121300">	<STYLE>	<!--		@page { size: 8.5in 11in; margin-left: 1.25in; margin-right: 1.25in; margin-top: 1in; margin-bottom: 1in }		TD P { margin-bottom: 0.08in }		P { margin-bottom: 0.08in }	-->	</STYLE></HEAD><BODY><P STYLE="margin-top: 0.17in; page-break-after: avoid"><FONT COLOR="#000080"><FONT FACE="Helvetica, sans-serif"><FONT SIZE=4><B>OptANN</B></FONT></FONT></FONT></P><P><FONT COLOR="#000080"><I>Description</I></FONT></P><P>OptANN is a separated Khepera simulator and a simple GA (GeneticAlgorithm) connected to an more advanced ANN (Artificial Neural Net)implementation. The simulator can handle multiple Khepera robots anda environment that changes during simulation. It simulates roundobstacles, walls and light bulbs using a technique with pre-recordedsensor values sampled with a Khepera robot for different objects,angles and distances. The ANN uses a idea where net nodes has anactivation priority instead of belonging to a specific layer, whichopens up and simplifies more complex ANN arcitectures.</P><P><BR><BR></P><P STYLE="font-weight: medium"><FONT COLOR="#000080"><I>Userinterface</I></FONT></P><P>The simulation environment can be runned with and withoutgraphical interface in order to optimize for speed or evaluation, youcan even exclude the GUI code during compile time for greaterperformance. </P><P>With the graphical interface which is using GTK (GIMP Tool Kit)and libggi (General Graphic Interface) you have the possibility tomonitor:</P><UL>	<LI><P>the activation values of the running neural net.</P>	<LI><P>the robots interaction with the environment with functions as	pause, step, graphical trace with different plotting styles. 	</P>	<LI><P>the sensor values that are generated both as plots and as	colorcoded sensoractivation mapped to a robot figure (where the	color represent the activation of the specific sensor). 	</P></UL><P>You can move the robot in the environment and take snapshots forlater studies.</P></BODY></HTML>

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