Inversion for explanation capability of neural networks and query-based learning

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Title: Inversion for explanation capability of neural networks and query-based learning
Author: Saad, Emad
Abstract: Neural network inversion is the process by which we obtain the set of neural network inputs which produce a specific output . Network inversion can be used to generate an explanation of the neural network behavior . Neural networks are known for their powerful capability to model real systems by learning from examples . However , a known drawback is their "black box" character . By explanation capability we mean the expression of the knowledge learned by the neural network , in the form of comprehensible rules , so the neural network's decisions are understandable to humans . Network inversion is also the core of query -based learning (QBE ) . QBE is known as an active learning technique . The training data is selectively generated , such that it covers areas in the input space of high information content . This dissertation explores the use of network inversion in these two areas . Different means of inversion are presented and gradient descent inversion of the probabilistic neural network (PNN ) is derived . A new technique is proposed , which generates an explanation of the neural network decision when used in classification . The proposed technique is able to generate rules with arbitrarily desired fidelity . A survey of the already existing neural network explanation algorithms is presented . Rule extraction is analyzed from an information theory point of view . The new explanation technique is applied to benchmark problems as well as to a real aerospace problem . A causality index , which provides preliminary neural network explanation , is analyzed and is applied to compare with the proposed explanation technique . QBE is applied to two real aerospace problems . The first application is a decision problem . The second application is a mapping problem with continuous output . Sigmoid scaling and jitter are explored as means of improving QBE .
URI: http : / /hdl .handle .net /2346 /9477
Date: 1999-05


Saad, Emad Inversion for explanation capability of neural networks and query-based learning. Doctoral dissertation, Texas Tech University. Available electronically from http : / /hdl .handle .net /2346 /9477 .

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