专利详细信息

BP神经网络在S7-300系列PLC中的实现方法

文献类型：专利

专利类型：发明专利

是否失效：否

是否授权：否

申请号：CN201410230726.4

申请日：20140528

发明人：胡文金苏盈盈汤毅刘显荣李太福范伟

申请人：重庆科技学院

申请人地址：401331 重庆市沙坪坝区大学城东路20号

公开日：20140827

公开号：CN104007659A

代理人：汤东凤

代理机构：北京科亿知识产权代理事务所(普通合伙)

语　　种：中文

摘　　要：本发明公开了BP神经网络在S7-300系列PLC中的实现方法，在S7-300系列PLC系统中定义12个数据块(DB1～DB12)，使其和BP神经网络迭代算式中的输入变量、隐含节点输入、隐含节点输出、输出节点输入、输出变量、权值w<Sub>ij</Sub>、权值w<Sub>jk</Sub>、阈值a<Sub>j</Sub>、阈值b<Sub>k</Sub>、误差e<Sub>k</Sub>、学习效率η、期望输出等若干变量一一对应，将BP神经网络迭代算式中若干变量的存取操作转化为PLC系统对应数据块中变量的存取操作。使用PLC系统的指令系统，直接实现BP神经网络的迭代运算，通过提供单次迭代、误差限结束、限次结束三种运行模式，以适应PLC系统的多种应用场合，避免BP神经网络的运行时间过长而影响PLC系统的正常扫描功能。

主权项：1.BP神经网络在S7-300系列PLC中的实现方法，其特征在于按照以下步骤进行：第一步，在S7-300系列PLC中定义12个数据块：数据块DB1～DB12分别存放BP神经网络迭代算式中的输入变量、隐含节点输入、隐含节点输出、输出层输入、输出变量、权值w_ij、权值w_jk、阈值a_j、阈值b_k、误差e_k、学习效率η和期望输出；第二步，初始化数据块：BP神经网络样本中的输入变量传送到DB1，样本中的输出变量传送到DB12，数据块DB6和DB7中的各变量初值设为零，数据块DB8和DB9中的各变量初值设为0.05，DB11中的学习效率初值设为0.5；第三步，计算隐含层输入：分别从数据块DB1和DB6中取出x_i和w_ij，按下式计算隐含层的输入H_Ij： $<math> <mrow> <msub> <mi>H</mi> <mi>Ij</mi> </msub> <mo>=</mo> <munderover> <mi>Σ</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>w</mi> <mi>ij</mi> </msub> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1,2</mn> <mo>,</mo> <mo>.</mo> <mo>.</mo> <mo>.</mo> <mo>,</mo> <mi>l</mi> <mo>;</mo> </mrow></math>$ 第四步，计算隐含层输出：分别从数据块DB2和DB8取出H_Ij和a_j，按下式计算隐含层的输出H_Oj： $<math> <mrow> <msub> <mi>H</mi> <mi>Oj</mi> </msub> <mo>=</mo> <mfrac> <mn>1</mn> <mrow> <mn>1</mn> <mo>+</mo> <msup> <mi>e</mi> <mrow> <mo>-</mo> <mrow> <mo>(</mo> <msub> <mi>H</mi> <mi>Ij</mi> </msub> </p><p class='subject'><strong>关键词：</strong><b class='type_ico_id'></b>神经网络算式存取操作 <b class='type_ico_id'></b>数据块 <b class='type_ico_id'></b>隐含扫描功能学习效率指令系统 <b class='type_ico_id'></b>单次限次运算转化 </p><p class='class'><strong>IPC专利分类号：</strong>G05B13/04(20060101)</p>
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