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网络整体类图

2017-03-19 20:46:20   0  举报

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类图

Spring整体流程及重点类

整体类图

类图

整体er图

网络整体类图是一个用于描述计算机网络系统各个组件之间关系的图表。它包括了各种网络设备、协议和服务，如路由器、交换机、防火墙、服务器、客户端、数据传输协议等。这些组件通过物理连接和逻辑连接相互交互，共同构成了一个完整的网络环境。在这个类图中，每个组件都有其特定的功能和属性，它们之间的关系可以通过箭头和线条来表示。通过对网络整体类图的分析，可以更好地理解网络系统的结构和工作原理，从而为网络设计和优化提供有力的支持。

作者其他创作

大纲/内容

myCombineCNN

- data:loadData- combineNumConv1:int- combConvLayer1:combineFeature = None- convCoreNum1:int- convCoreList1:list = list()- convCoreOut1:list = None- poolingCoreList1:list = list()- poolingCoreOut1:list = None- combineNumPooling1:int- combPoolingLayer1:combineFeature = None- allConnectData:array = None- fullInputLayer:fullConnectInputLayer = None- midACData:array = None- fullMidLayer:fullConnectMidLayer = None- predictResult:array = None- poolingSFlist:list = None- self.convSFlist:list = None- self.trainInitializeFlag:bool = False

combineFeature

- featureNum:int = 0- combineNum:int = 0- featureCombineMap:list = []- featureNum:int = featureNum- combineNum:int = combineNum

loadData

+ DataX:array = None+ DataTrainX:array = None+ DataTrainXLoss:array = None+ DataTestX:array = None+ DataTestXLoss:array = None+ DataValX:array = None+ DataValXLoss:array = None+ DataY:array = None+ DataTrainY:array = None+ DataTestY:array = None+ DataValY:array = None- lossRate:float = 0.- setLossValue:float = 0.- lossSimulator:dataLossSimulator+ yClassDic:dictionary = {}

maxPoolingLayerCore

- inputDataX:array- poolingSize:int- poolingPositon:array = None- outputDataX:array = None

- __init__(inputDataX)+ calculate(newInputData):array+ BP(sensitivityFactor):array

fullConnectMidLayer

- sampleNum:int- L_in:int- L_out:int- epsilon:float- w:array- midInputDataX:array- outputDataY:array = None- outputDataYAct:array = None- trainRate:float- ylabel:array

fullConnectInputLayer

- sampleNum:int- L_in:int- LoutinRate:float- L_out:int- epsilon:float- w:array- inputDataX:array- outputDataX:array = None- outputDataXAct:array = None- trainRate:float

dataLossSimulator

- lossRate:float = 0- originDim:int- setLossValue:float = 0- lossDimEachSample:int = 0

convLayerCore

- w:array- inputDataX:array- outputDataY:array- outputDataYAct:array- trainRate:float- leakyRate:float