翻訳と辞書 Words near each other ・ Adalhard of Metz ・ Adalhard von Babenberg ・ Adalhat ・ Adalhelm of Autun ・ Adalia ・ Adalia (beetle) ・ Adalia bipunctata ・ Adalia decempunctata ・ Adalia, Valladolid ・ Adalid ・ Adalid Puerto ・ Adalida ・ Adalimumab ・ Adalin River ・ Adalin Wichman ・ ADALINE ・ Adaline ・ Adaline Glasheen ・ Adaline Kent ・ Adaline, West Virginia ・ Adalita ・ Adalita Srsen ・ Adalius Thomas ・ Adalla of Silla ・ Adalli ・ Adallom ・ Adaloald ・ Adalpur ・ Adalram ・ Adalric Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク ADALINE ： ウィキペディア英語版 ADALINE ADALINE (Adaptive Linear Neuron or later Adaptive Linear Element) is an early single-layer artificial neural network and the name of the physical device that implemented this network.〔Youtube: (widrowlms: Science in Action )〕〔(1960: An adaptive "ADALINE" neuron using chemical "memistors" )〕〔Youtube: (widrowlms: The LMS algorithm and ADALINE. Part I - The LMS algorithm )〕〔Youtube: (widrowlms: The LMS algorithm and ADALINE. Part II - ADALINE and memistor ADALINE )〕 The network uses memistors. It was developed by Professor Bernard Widrow and his graduate student Ted Hoff at Stanford University in 1960. It is based on the McCulloch–Pitts neuron. It consists of a weight, a bias and a summation function. The difference between Adaline and the standard (McCulloch–Pitts) perceptron is that in the learning phase the weights are adjusted according to the weighted sum of the inputs (the net). In the standard perceptron, the net is passed to the activation (transfer) function and the function's output is used for adjusting the weights. There also exists an extension known as Madaline. ==Definition== Adaline is a multiple layer neural network with multiple nodes where each node accepts multiple inputs and generates one output. Given the following variables:as * x is the input vector * w is the weight vector * n is the number of inputs * $\backslash theta$ some constant * y is the output of the model then we find that the output is $y=\backslash sum\_^\; x\_j\; w\_j\; +\; \backslash theta$. If we further assume that *$x\_\; =\; 1$ *$w\_\; =\; \backslash theta$ then the output further reduces to the dot product of x and w: $y=x\; \backslash cdot\; w$ 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「ADALINE」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.