A Critical Comparison of Two Kinds of Adaptive Classification Networks

نویسندگان

  • Karl Steinbuch
  • Bernard Widrow
چکیده

[1] V. Radeka, 'Fast decimal counting with binary-decimal logic," IEEE Trans. on Nuclear Science, vol. NS-1 1, pp. 296-301, January 1965. [2] H. Stopper, "Ermittlung des Codes und der logischen Schaltung einer Zahlerdekade," Telefunken Ztg., vol. 33, pp. 13-19, March 1960. 13] Z. Tarczy-Hornoch, "Five-binary counting technique makes faster decimal counting units, Electronic Design, vol. 9, pp. 34-37, January 1961. [4] W. Hilberg, "Die Eccles-Jordan-Schaltung mit Transistoren fur sehr schnelle Zahlen, Telefunken Zig., vol. 33, pp. 98-108, June 1960). [51 W. Hilberg, "Das Zahlen sehr schnell aufeinander folgender Impulse," NTZ, vol. 17, pp. 24-34, January 1964. [61 J. A. Goss, 'ISABEL," Electronic Engr., vol. 32, pp. 630-634, October 1960.

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

An adaptive estimation method to predict thermal comfort indices man using car classification neural deep belief

Human thermal comfort and discomfort of many experimental and theoretical indices are calculated using the input data the indicator of climatic elements are such as wind speed, temperature, humidity, solar radiation, etc. The daily data of temperature، wind speed، relative humidity، and cloudiness between the years 1382-1392 were used. In the First step، Tmrt parameter was calculated in the Ray...

متن کامل

Application of Artificial Neural Networks in a Two-step Classification for Acute Lymphocytic Leukemia Diagnosis by Blood Lamella Images

Introduction: This study aimed to present a system based on intelligent models that can enhance the accuracy of diagnostic systems for acute leukemia. The three parts including preprocessing, feature extraction, and classification network are considered as associated series of actions. Therefore, any dysfunction or poor accuracy in each part might lead in general dysfunction of...

متن کامل

Prediction of true critical temperature and pressure of binary hydrocarbon mixtures: A Comparison between the artificial neural networks and the support vector machine

Two main objectives have been considered in this paper: providing a good model to predict the critical temperature and pressure of binary hydrocarbon mixtures, and comparing the efficiency of the artificial neural network algorithms and the support vector regression as two commonly used soft computing methods. In order to have a fair comparison and to achieve the highest efficiency, a comprehen...

متن کامل

Voting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems

some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...

متن کامل

Voting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems

some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...

متن کامل

Maximum Power Point Tracking of the Photovoltaic System Based on Adaptive Fuzzy-Neural Method

The aim of this paper was to present an optimized method in order to use maximum capacity of the photovoltaic panels. In this regard, we presented a method for the maximum power point tracking in the photovoltaic systems by using the neural networks and adaptive controller. In the proposed system, we estimated an error by using neural network. If this error is lower than the allowable systems e...

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:
  • IEEE Trans. Electronic Computers

دوره 14  شماره 

صفحات  -

تاریخ انتشار 1965