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Titlebook: Engineering Applications of Bio-Inspired Artificial Neural Networks; International Work-C José Mira,Juan V. Sánchez-Andrés Conference proce

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發(fā)表于 2025-3-21 19:27:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Engineering Applications of Bio-Inspired Artificial Neural Networks
副標(biāo)題International Work-C
編輯José Mira,Juan V. Sánchez-Andrés
視頻videohttp://file.papertrans.cn/311/310696/310696.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Engineering Applications of Bio-Inspired Artificial Neural Networks; International Work-C José Mira,Juan V. Sánchez-Andrés Conference proce
描述This book constitutes, together with its compagnion LNCS 1606, the refereed proceedings of the International Work-Conference on Artificial and Neural Networks, IWANN‘99, held in Alicante, Spain in June 1999..The 91 revised papers presented were carefully reviewed and selected for inclusion in the book. This volume is devoted to applications of biologically inspired artificial neural networks in various engineering disciplines. The papers are organized in parts on artificial neural nets simulation and implementation, image processing, and engineering applications.
出版日期Conference proceedings 1999
關(guān)鍵詞Bio-Inspired Systems; Biophysical Modeling; Navigation; Neural Networks; Neural Networks Implementation;
版次1
doihttps://doi.org/10.1007/BFb0100465
isbn_softcover978-3-540-66068-2
isbn_ebook978-3-540-48772-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1999
The information of publication is updating

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Taschenbuch der Hochfrequenztechnikdrite uses principles found in biology like active propagation and shaping of action potentials using active channels. A brief introduction in neurophysiology is given in order to explain the underlying mechanisms. The model is simulated in SPICE using models of conventional analogue electronic devices.
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Using on-line arithmetic and reconfiguration for neuroprocessor implementation,paradigm is applied to the design of a neuroprocessor implementing multilayer perceptrons with on-chip training and pruning. All arithmetic operations are carried out with on-line operators. We also describe the principles of the hardware architecture, focusing in particular on the pruning mechanisms.
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An artificial dendrite using active channels,drite uses principles found in biology like active propagation and shaping of action potentials using active channels. A brief introduction in neurophysiology is given in order to explain the underlying mechanisms. The model is simulated in SPICE using models of conventional analogue electronic devices.
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Tarifvertrag zur Qualifizierung,to maintain, and some-times improve the generalisation results, while also constructing smaller networks. Further benchmarking on the Proben1 series of data sets is performed and the results compared to an optimised Cascade Correlation algorithm.
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The role of dynamic reconfiguration for implementing artificial neural networks models in programmaa Chip) offer an efficient alternative (both in terms of area and speed) for implementing hardware accelerators. After presenting the data flow associated with a serial arithmetic unit, we shall show how its dynamic implementation in the FIPSOC device is able to outperform systems realised in conventional programmable devices.
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