作者: 暫時(shí)別動(dòng) 時(shí)間: 2025-3-21 21:20
https://doi.org/10.1007/978-3-642-97239-3Konnektionismus (Kybern; ); Künstliche Intelligenz; Pa; artificial intelligence; associative memory; brain作者: groggy 時(shí)間: 2025-3-22 04:01
Associative Memoryutation on a neural network. An information storage device is called an ., if it permits the recall of information on the basis of a partial knowledge of its content, but without knowing its storage location. One also speaks of . memory.作者: 打谷工具 時(shí)間: 2025-3-22 07:59 作者: 人造 時(shí)間: 2025-3-22 11:15
VLSI and Neural Networksit it for practical and perhaps beneficial purposes, one must face the challenge of performing real-life neural computations. Several courses can be followed to achieve this purpose. We enumerate the most important alternatives:作者: 名次后綴 時(shí)間: 2025-3-22 14:46 作者: LINES 時(shí)間: 2025-3-22 17:28
Neural Networks IntroducedNeural-network models are algorithms for cognitive tasks, such as learning and optimization, which are in a loose sense based on concepts derived from research into the nature of the brain. In mathematical terms .:作者: ODIUM 時(shí)間: 2025-3-22 21:49
ApplicationsIn the past few years, layered feed-forward neural networks learning by error back-propagation have been applied to a number of problems. We cannot discuss all of these sometimes quite impressive applications here in detail, but we shall discuss a few selected examples in the following, leaving others to further study by the interested reader.作者: 舞蹈編排 時(shí)間: 2025-3-23 04:45
Springer-Verlag Berlin Heidelberg 1990作者: flimsy 時(shí)間: 2025-3-23 06:07 作者: 扔掉掐死你 時(shí)間: 2025-3-23 10:25 作者: BINGE 時(shí)間: 2025-3-23 17:31
cquerel an Platin Elektroden, die in eine saure L?sung eintauchten, beobachtet. Die n?chste wichtige Entwicklung stammt von Adams und Day, die erstmals 1877 den photovoltaischen Effekt an einem Festk?rper, n?mlich Selen, beobachteten. Die erste ?Solarzelle“ ist C.E. Fritts zuzuschreiben, der 1883 ei作者: Enzyme 時(shí)間: 2025-3-23 20:20 作者: flutter 時(shí)間: 2025-3-23 23:53
Berndt Müller,Joachim ReinhardtHauptspeichers benutzt. Programme, die geladen werden, sehen einen virtuellen Speicher bzw. dessen Adressbereich, der sich aus RAM und Swap zusammensetzt und für die Benutzung des Programms uneingeschr?nkt zur Verfügung steht. Von dem MMU-Chip (Memory Management Unix) wird eine Umwandlung von virtue作者: vascular 時(shí)間: 2025-3-24 02:34
Berndt Müller,Joachim Reinhardteerzeuger: Der Energiegehalt von einem Liter Heiz?l entspricht recht gut dem Energieinhalt von einem Kubikmeter Erdgas, ?lkessel sind in der Anschaffung ?hnlich teuer wie Gaskessel. Die Erzeugungs- oder ?Gestehungskosten“ einer kWh W?rme sind bei Gas oder ?l folglich etwa gleich hoch..Aber schon der作者: 貪婪性 時(shí)間: 2025-3-24 09:13 作者: 的染料 時(shí)間: 2025-3-24 12:02 作者: Germinate 時(shí)間: 2025-3-24 18:03
Associative Memoryutation on a neural network. An information storage device is called an ., if it permits the recall of information on the basis of a partial knowledge of its content, but without knowing its storage location. One also speaks of . memory.作者: Soliloquy 時(shí)間: 2025-3-24 21:26 作者: 和藹 時(shí)間: 2025-3-25 00:31 作者: Bucket 時(shí)間: 2025-3-25 07:08 作者: peak-flow 時(shí)間: 2025-3-25 11:28 作者: 清澈 時(shí)間: 2025-3-25 14:43 作者: Blatant 時(shí)間: 2025-3-25 15:48 作者: 手段 時(shí)間: 2025-3-25 22:17 作者: arousal 時(shí)間: 2025-3-26 03:53 作者: 收到 時(shí)間: 2025-3-26 04:45
Coupled Neural Networksns. On the other hand, any general “recurrent” neural network can be considered to be represented by a feed-forward perceptron, albeit one with possibly very many layers. The reason for this strange equivalence is that the temporal evolution (3.5) of an arbitrary network constructed from binary neur作者: 存心 時(shí)間: 2025-3-26 09:13
Unsupervised Learningt has a number of rather unrealistic aspects, especially concerning the comparison with biological nerve nets. It is particularly troublesome in this respect: that complete knowledge of the deviation of the output from the desired reaction is required to determine the adjustment even of neurons in h作者: RLS898 時(shí)間: 2025-3-26 14:03
Statistical Physics and Spin Glassestic system characterized by a lattice of discrete spin variables .. = ±1. Such systems are known under the name .. If the spin—spin interaction, i.e. the coupling coefficients .., extend over large distances and take on irregular values one speaks of a .. The peculiar properties of such spin glasses作者: FLIRT 時(shí)間: 2025-3-26 16:52 作者: Hypopnea 時(shí)間: 2025-3-26 23:54
The Hopfield Network for Finite ,/,one is interested in networks with a finite pattern loading; indeed one would like to have a memory with a capacity as large as possible. Thus we endeavor to attack the more relevant problem of a network in the thermodynamic limit . → ∞, keeping the fraction of stored patterns per neuron at a finite作者: affluent 時(shí)間: 2025-3-27 02:08
Coupled Neural Networksain moment . = . as the .th layer of a perceptron (with all layers identical!), the temporal-evolution law can be viewed as the law governing the flow of information from one layer to the next. It is then sufficient to take into account only a finite number of such layers, just as many as there are 作者: 我沒有命令 時(shí)間: 2025-3-27 06:49
Textbook 19901st editiond of binary-valued information- processing units, highly abstracted versions of biological neurons, either by mathematical analysis or by computer simulation, have emerged as a third route towards a better understanding of the brain, and possibly of the human mind. Long remaining - with the exceptio作者: Cumbersome 時(shí)間: 2025-3-27 10:17 作者: Ingredient 時(shí)間: 2025-3-27 13:43 作者: chronicle 時(shí)間: 2025-3-27 19:13 作者: 羊齒 時(shí)間: 2025-3-28 00:07
Berndt Müller,Joachim Reinhardthbare Si-Solarzelle mit einem Wirkungsgrad von 6% wird erst 1954 von Pearson, Fuller und Chapin vorgestellt und die Bell Laboraties demonstrieren mit dem Betrieb eines Sprechfunkger?ts die erste Photobatterie. Damit wurde die Solarzelle auch für die Industrie interessant. Man begann ihre Physik bess作者: 發(fā)微光 時(shí)間: 2025-3-28 03:16
Berndt Müller,Joachim Reinhardt Teil des Programms im Hauptspeicher befindet. In den Swapsspeicher werden exakte, bitidentische Kopien aus dem Hauptspeicher abgelegt, so da? ein m?glichst schneller Austausch zwischen RAM und Festplattenspeicher erfolgen kann. Dazu werden alle Prozesse im Hauptspeicher in Pages (Seiten) aufgeteilt作者: mitral-valve 時(shí)間: 2025-3-28 07:15 作者: 衣服 時(shí)間: 2025-3-28 10:42 作者: 傲慢人 時(shí)間: 2025-3-28 14:35
Stochastic Neuronsth probability .(±..):.where the activation function .(.) must have the limiting values .(. → ?∞) = 0, .(. → ?∞) = 1. Between these limits the activation function must rise monotonously, smoothly interpolating between 0 and 1. Such functions are often called . functions.作者: Perceive 時(shí)間: 2025-3-28 20:38
Multilayered Perceptronsote the states of the hidden neurons by the variables .., (. = 1,..., ..).. The synaptic connections between the hidden neurons and the output neurons are denoted by ..; those between the input layer and the hidden layer by .. The threshold potentials of the output neurons are called ?.; those of the hidden neurons are called ..作者: 左右連貫 時(shí)間: 2025-3-29 00:08
Statistical Physics and Spin Glasses have caught the attention of physicists and have been studied closely during the last decade. In the following chapters we will make ample use of the results and the methods developed in the course of these investigations. Despite the dose magnetic analogy, however, we will always keep in mind that we intend to describe neural networks.作者: ZEST 時(shí)間: 2025-3-29 04:03 作者: Ventilator 時(shí)間: 2025-3-29 08:09 作者: 羽飾 時(shí)間: 2025-3-29 13:36
Textbook 19901st editiondation stone of ontological philosophy. Others have taken the human mind as evidence of the existence of supernatural powers, or even of God. Serious scientific in- vestigation, which began about half a century ago, has partially answered some of the simpler questions (such as how the brain processe作者: 縫紉 時(shí)間: 2025-3-29 18:42 作者: 最后一個(gè) 時(shí)間: 2025-3-29 22:34
Network Architecture and Generalizationl in the operational stage. Instead of learning salient features of the underlying input-output relationship, the network simply learns to distinguish somehow between the various input patterns of the training set and to associate them with the correct output.作者: FID 時(shí)間: 2025-3-30 02:00
Combinatorial Optimizationtion problems. Here a . has to be minimized, which depends on the order of a finite number of objects. The number of arrangements of . objects, and therefore the effort to find the minimum of ., grows exponentially with ..作者: 托人看管 時(shí)間: 2025-3-30 07:56 作者: dendrites 時(shí)間: 2025-3-30 09:24 作者: 使困惑 時(shí)間: 2025-3-30 15:57 作者: boisterous 時(shí)間: 2025-3-30 17:46
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10樓
