Mine Detection Using Scattering Parameters and an Artificial Neural Network

نویسندگان

  • Gregory L. Plett
  • Takeshi Doi
چکیده

The detection and disposal of anti-personnel land mines is one of the most difficult and intractable problems faced in ground conflict. This paper presents detection methods which use a separated-aperture microwave sensor and an artificial neural-network pattern classifier. Several data-specific preprocessing methods are developed to enhance neuralnetwork learning. In addition, a generalized Karhunen-Loeve transform and the eigenspace separation transform are used to perform data reduction and reduce network complexity. Highly favorable results have been obtained using the above methods in conjunction with a feedforward neural network.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Mine Detection Using Scattering Parameters And An Artificial Neural Network - Neural Networks, IEEE Transactions on

The detection and disposal of antipersonnel land mines is one of the most difficult and intractable problems faced in ground conflict. This paper presents detection methods which use a separated-aperture microwave sensor and an artificial neural-network pattern classifier. Several data-specific preprocessing methods are developed to enhance neural-network learning. In addition, a generalized Ka...

متن کامل

Application of artificial neural network and genetic algorithm to modelling the groundwater inflow to an advancing open pit mine

In this study, a hybrid intelligent model has been designed to predict groundwater inflow to a mine pit during its advance. Novel hybrid method coupling artificial neural network (ANN) with genetic algorithm (GA) called ANN-GA, was utilised. Ratios of pit depth to aquifer thickness, pit bottom radius to its top radius, inverse of pit advance time and the hydraulic head (HH) in the observation w...

متن کامل

Predicting peak particle velocity by artificial neural networks and multivariate regression analysis - Sarcheshmeh copper mine, Kerman, Iran

Ground vibrations caused by blasting are undesirable results in the mining industry and can cause serious damage to the nearby buildings and facilities; therefore, controlling such vibrations has an important role in reducing the environmental damaging effects. Controlling vibration caused by blasting can be achieved once peak particle velocity (PPV) is predicted. In this paper, the values of P...

متن کامل

Reprinted From: Proc. Spie V.2765, \detection and Remediation Technologies for Mines and Minelike Present and Future Methods of Mine Detection Using Scattering Parameters and an Artiicial Neural Network

The detection and disposal of anti-personnel landmines is one of the most diicult and intractable problems faced in ground connict. This paper rst presents current detection methods which use a separated aperture microwave sensor and an artiicial neural-network pattern classiier. Several data-speciic pre-processing methods are developed to enhance neural-network learning. In addition, a general...

متن کامل

Detection of Single and Dual Incipient Process Faults Using an Improved Artificial Neural Network

Changes in the physicochemical conditions of process unit, even under control, may lead to what are generically referred to as faults. The cognition of causes is very important, because the system can be diagnosed and fault tolerated. In this article, we discuss and propose an artificial neural network that can detect the incipient and gradual faults either individually or mutually. The mai...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1997