翻訳と辞書 Words near each other ・ Boltonville, Wisconsin ・ Bolts (album) ・ Bolts and Blip ・ Bolts of Melody ・ Boltwood ・ Boltwood (All-England cricketer, 1778) ・ Boltwoodite ・ Boltysh crater ・ Boltz Lake ・ Boltzmann (crater) ・ Boltzmann (disambiguation) ・ Boltzmann brain ・ Boltzmann constant ・ Boltzmann distribution ・ Boltzmann equation ・ Boltzmann machine ・ Boltzmann Medal ・ Boltzmann relation ・ Boltzmann's entropy formula ・ Boltzmann-Matano analysis ・ Bolu ・ Bolu (electoral district) ・ Bolu Akinyode ・ Bolu Fagborun ・ Bolu Province ・ Bolu Sanjak ・ Boluband ・ Bolueta (Metro Bilbao) ・ Bolugh ・ Bolugur 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 Boltzmann machine ： ウィキペディア英語版 Boltzmann machine A Boltzmann machine is a type of stochastic recurrent neural network invented by Geoffrey Hinton and Terry Sejnowski in 1985. Boltzmann machines can be seen as the stochastic, generative counterpart of Hopfield nets. They were one of the first examples of a neural network capable of learning internal representations, and are able to represent and (given sufficient time) solve difficult combinatoric problems. They are theoretically intriguing because of the locality and Hebbian nature of their training algorithm, and because of their parallelism and the resemblance of their dynamics to simple physical processes. Due to a number of issues discussed below, Boltzmann machines with unconstrained connectivity have not proven useful for practical problems in machine learning or inference, but if the connectivity is properly constrained, the learning can be made efficient enough to be useful for practical problems. They are named after the Boltzmann distribution in statistical mechanics, which is used in their sampling function. ==Structure== A Boltzmann machine, like a Hopfield network, is a network of units with an "energy" defined for the network. It also has binary units, but unlike Hopfield nets, Boltzmann machine units are stochastic. The global energy, $E$, in a Boltzmann machine is identical in form to that of a Hopfield network: :$E\; =\; -\backslash left(\backslash sum\_\; w\_\; \backslash ,\; s\_i\; \backslash ,\; s\_j\; +\; \backslash sum\_i\; \backslash theta\_i\; \backslash ,\; s\_i\; \backslash right)$ Where: * $w\_$ is the connection strength between unit $j$ and unit $i$. * $s\_i$ is the state, $s\_i\; \backslash in\; \backslash$, of unit $i$. * $\backslash theta\_i$ is the bias of unit $i$ in the global energy function. ($-\backslash theta\_i$ is the activation threshold for the unit.) The connections in a Boltzmann machine have two restrictions: * $w\_=0\backslash qquad\; \backslash forall\; i$. (No unit has a connection with itself.) * $w\_=w\_\backslash qquad\; \backslash forall\; i,j$. (All connections are symmetric.) Often the weights are represented in matrix form with a symmetric matrix $W$, with zeros along the diagonal. 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「Boltzmann machine」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.