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1
신경망 이론과 응용 2 = Neural networks theory and applications
신경망 이론과 응용 2 = Neural networks theory and applications
김대수 하이테크정보, 1994,
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2
多目的 貯水池의 洪水流入量 豫測을 위한 神經網模型 = Neural networks model for flood inflow forecasting in multipurpose reservoir
多目的 貯水池의 洪水流入量 豫測을 위한 神經網模型 = Neural networks model for flood inflow forecasting in multipurpose reservoir
김만식 忠北大學校 大學院, 1998,
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3
ART2 신경망 모델을 이용한 화자 인식에 관한 연구 = A Study on the speaker recognition using the ART2 neural network model
ART2 신경망 모델을 이용한 화자 인식에 관한 연구 = A Study on the speaker recognition using the ART2 neural network model
이성화 建國大學校 大學院, 1998,
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4
모듈 구조 신경망을 이용한 필기체 인식 시스템의 구현 = Implementation of handwriting recognition system using modular neural networks
모듈 구조 신경망을 이용한 필기체 인식 시스템의 구현 = Implementation of handwriting recognition system using modular neural networks
서춘원 광운대학교 대학원, 1996,
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5
신경통백과 = Neuralgia
신경통백과 = Neuralgia
석세일 民衆書館, 1999,

Naver

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6
Neural networks의 이론과 응용
Neural networks의 이론과 응용
배상현 조선대학교 출판부, 1999,

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7
hopfield 모델에 기초한 연상 메모리의 광학적 구현에 관한 연구 = A study on the Optical Implementa-tion of Associative Memory based on the Hopfield Neural Network Model
hopfield 모델에 기초한 연상 메모리의 광학적 구현에 관한 연구 = A study on the Optical Implementa-tion of Associative Memory based on the Hopfield Neural Network Model
이재수 광운대학교, 1989,
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8
신경망 설계: 주요 신경망 이론과 응용 사례
신경망 설계: 주요 신경망 이론과 응용 사례
Hagan, Martin T. 에이콘, 2018,

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9
딥러닝의 정석 : 텐서플로와 최신 기법으로 배우는 딥러닝 알로리즘 설계
딥러닝의 정석 : 텐서플로와 최신 기법으로 배우는 딥러닝 알로리즘 설계
Buduma, Nikhil 한빛미디어, 2018,

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