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Titlebook: Artificial Neural Networks; Learning Algorithms, N. B. Karayiannis,A. N. Venetsanopoulos Book 1993 Springer Science+Business Media New York

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發(fā)表于 2025-3-21 17:59:46 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Neural Networks
期刊簡(jiǎn)稱Learning Algorithms,
影響因子2023N. B. Karayiannis,A. N. Venetsanopoulos
視頻videohttp://file.papertrans.cn/163/162626/162626.mp4
學(xué)科分類The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Artificial Neural Networks; Learning Algorithms, N. B. Karayiannis,A. N. Venetsanopoulos Book 1993 Springer Science+Business Media New York
影響因子1.1 Overview We are living in a decade recently declared as the "Decade of the Brain". Neuroscientists may soon manage to work out a functional map of the brain, thanks to technologies that open windows on the mind. With the average human brain consisting of 15 billion neurons, roughly equal to the number of stars in our milky way, each receiving signals through as many as 10,000 synapses, it is quite a view. "The brain is the last and greatest biological frontier", says James Weston codiscoverer of DNA, considered to be the most complex piece of biological machinery on earth. After many years of research by neuroanatomists and neurophys- iologists, the overall organization of the brain is well understood, but many of its detailed neural mechanisms remain to be decoded. In order to understand the functioning of the brain, neurobiologists have taken a bottom-up approach of studying the stimulus-response characteristics of single neurons and networks of neurons, while psy- chologists have taken a top-down approach of studying brain func- tions from the cognitive and behavioral level. While these two ap- proaches are gradually converging, it is generally accepted that it may take anot
Pindex Book 1993
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Neural Network Architectures and Learning Schemes, by which a neural system acquires ability to carry out certain tasks by adjusting its internal parameters according to some learning scheme. Depending on the particular neural architecture considered, learning can be either . or ..
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Remote Sensing Using Filamentation,ring work on neural networks which appeared some decades ago. However, the transition from the dream to the reality requires an extensive amount of work on the possible applications of neural networks and, even more importantly, the development of efficient learning algorithms for the training of neural networks.
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Refractive Index Structures in Polymers research field, such as the evaluation of the performance of existing neural network architectures and learning schemes, the search for alternative neural network architectures, and the development of fast and efficient learning algorithms.
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ELEANNE: Efficient LEarning Algorithms for Neural NEtworks,ring work on neural networks which appeared some decades ago. However, the transition from the dream to the reality requires an extensive amount of work on the possible applications of neural networks and, even more importantly, the development of efficient learning algorithms for the training of neural networks.
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0893-3405 nal map of the brain, thanks to technologies that open windows on the mind. With the average human brain consisting of 15 billion neurons, roughly equal to the number of stars in our milky way, each receiving signals through as many as 10,000 synapses, it is quite a view. "The brain is the last and
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Femorokrurale Arterienverschlüssers in our milky way, each receiving signals through as many as 10,000 synapses, it is quite a view. “The brain is the last and greatest biological frontier”, says James Weston codiscoverer of DNA, considered to be the most complex piece of biological machinery on earth.
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