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System and method for determining node functionality in artificial neural networks

机译:确定人工神经网络中节点功能的系统和方法

摘要

A system for unwrapping an artificial neural network (ANN) to determine thetilization and functionality of the nodes uses a network generator for generating an initial ANN architecture. Training and pruning processors operate to generate minimal ANN architectures having increasingly lower levels of classification accuracy. A network analyzer uses an analysis controller to receive minimal ANN architectures from the pruning processor. A connection analyzer operates on the minimal ANN architectures to identify the inputs to the minimal ANN architecture and determine the information represented by and contained in the network inputs. A node analyzer, coupled to the connection analyzer, then defines the utilization and functionality of each node in the minimal ANN architecture in terms of known functions.
机译:用于解开人工神经网络(ANN)以确定节点的利用率和功能的系统使用网络生成器来生成初始的ANN架构。训练和修剪处理器用于生成具有越来越低的分类精度级别的最小ANN架构。网络分析仪使用分析控制器从修剪处理器接收最少的ANN体系结构。连接分析器在最小ANN架构上运行,以标识最小ANN架构的输入,并确定由网络输入表示并包含在网络输入中的信息。然后,与连接分析器耦合的节点分析器根据已知功能定义最小ANN架构中每个节点的利用率和功能。

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