001 <?xml version="1.0" encoding="UTF-8"?>
002 <network version="0.3">
003
004 <header>
005 <author>Andre dot dos dot Anjos at cern dot ch</author>
006 <name>XOR MLP</name>
007 <version>1.0</version>
008 <created>2004-03-20T23:28:00</created>
009 <lastSaved>2004-03-20T23:28:00</lastSaved>
010 <comment>Presents the solution the XOR problem, using a feedfoward, multi-layer network.</comment>
011 </header>
012
013 <layout>
014 <input id="1"></input>
015 <input id="2"></input>
016 <bias id="3" bias="1.0"/>
017 <bias id="4" bias="1.0"/>
018 <hidden id="5">
019 <backPropagation activationFunction="tanh"/>
020 </hidden>
021 <hidden id="6">
022 <backPropagation activationFunction="tanh"/>
023 </hidden>
024 <output id="7">
025 <backPropagation activationFunction="tanh"/>
026 </output>
027 <synapse id="1" from="1" to="5">
028 <weight>1.0</weight>
029 <backPropagation learnRate="0.1"/>
030 </synapse>
031 <synapse id="2" from="1" to="6">
032 <weight>1.0</weight>
033 <backPropagation learnRate="0.1"/>
034 </synapse>
035 <synapse id="3" from="2" to="5">
036 <weight>1.0</weight>
037 <backPropagation learnRate="0.1"/>
038 </synapse>
039 <synapse id="4" from="2" to="6">
040 <weight>1.0</weight>
041 <backPropagation learnRate="0.1"/>
042 </synapse>
043 <synapse id="5" from="3" to="5">
044 <weight>-1.5</weight>
045 <backPropagation learnRate="0.1"/>
046 </synapse>
047 <synapse id="6" from="4" to="6">
048 <weight>-0.5</weight>
049 <backPropagation learnRate="0.1"/>
050 </synapse>
051 <synapse id="7" from="5" to="7">
052 <weight>-2.0</weight>
053 <backPropagation learnRate="0.1"/>
054 </synapse>
055 <synapse id="8" from="6" to="7">
056 <weight>1.0</weight>
057 <backPropagation learnRate="0.1"/>
058 </synapse>
059
060 </layout>
061
062 </network>
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