<?xml version='1.0' encoding='utf-8'?>
<eprints xmlns='http://eprints.org/ep2/data/2.0'>
  <eprint id='http://edata.bham.ac.uk/id/eprint/647'>
    <eprintid>647</eprintid>
    <rev_number>12</rev_number>
    <documents>
      <document id='http://edata.bham.ac.uk/id/document/3136'>
        <docid>3136</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='http://edata.bham.ac.uk/id/file/15490'>
            <fileid>15490</fileid>
            <datasetid>document</datasetid>
            <objectid>3136</objectid>
            <filename>NeuralNetwork_Experiment1.zip</filename>
            <mime_type>application/zip</mime_type>
            <hash>ce3606c35ac32f04aa0fa1601226dae3</hash>
            <hash_type>MD5</hash_type>
            <filesize>7921157108</filesize>
            <mtime>2021-04-18 07:21:14</mtime>
            <url>http://edata.bham.ac.uk/647/1/NeuralNetwork_Experiment1.zip</url>
          </file>
        </files>
        <eprintid>647</eprintid>
        <pos>1</pos>
        <placement>1</placement>
        <mime_type>application/zip</mime_type>
        <format>archive</format>
        <security>public</security>
        <license>cc_by_4</license>
        <main>NeuralNetwork_Experiment1.zip</main>
        <content>data</content>
      </document>
      <document id='http://edata.bham.ac.uk/id/document/3137'>
        <docid>3137</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='http://edata.bham.ac.uk/id/file/15492'>
            <fileid>15492</fileid>
            <datasetid>document</datasetid>
            <objectid>3137</objectid>
            <filename>NeuralNetwork_Experiment1.z01</filename>
            <mime_type>application/zip</mime_type>
            <hash>c7e4cea69ea1f0a3ede49e672654dae2</hash>
            <hash_type>MD5</hash_type>
            <filesize>8589934592</filesize>
            <mtime>2021-04-18 08:22:39</mtime>
            <url>http://edata.bham.ac.uk/647/2/NeuralNetwork_Experiment1.z01</url>
          </file>
        </files>
        <eprintid>647</eprintid>
        <pos>2</pos>
        <placement>2</placement>
        <mime_type>application/zip</mime_type>
        <format>other</format>
        <security>public</security>
        <license>cc_by_4</license>
        <main>NeuralNetwork_Experiment1.z01</main>
        <content>data</content>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>267</userid>
    <dir>disk0/00/00/06/47</dir>
    <datestamp>2021-05-13 14:43:24</datestamp>
    <lastmod>2021-05-14 15:16:14</lastmod>
    <status_changed>2021-05-13 14:43:24</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Wan</family>
          <given>Jizheng</given>
        </name>
        <id>JXW178@bham.ac.uk</id>
        <orcid>0000-0002-1069-4582</orcid>
      </item>
    </creators>
    <title>Research data related to NeuralNetwork_Experiment1</title>
    <divisions>
      <item>10col_ephy</item>
    </divisions>
    <keywords>Neural Network (NN), Neural Complex, Machine Learning</keywords>
    <abstract>Neural Network Set trained in the first experiment with the best NN structure which contains 3 hidden layers and 2000 nodes on each layer.</abstract>
    <date>2021-05-13</date>
    <date_type>published</date_type>
    <publisher>University of Birmingham</publisher>
    <id_number>https://doi.org/10.25500/edata.bham.00000647</id_number>
    <data_type>Dataset</data_type>
    <contact_email>research-data@contacts.bham.ac.uk</contact_email>
    <department>
      <item>School of Computer Science</item>
    </department>
    <data_protection_legislation>no</data_protection_legislation>
    <funder_reqs>no</funder_reqs>
    <contractual_reqs>no</contractual_reqs>
    <university_reqs>TRUE</university_reqs>
  </eprint>
</eprints>
