infection
发表于 2025-3-21 18:38:38
书目名称Neural Information Processing: Research and Development影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0663653<br><br> <br><br>书目名称Neural Information Processing: Research and Development影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0663653<br><br> <br><br>书目名称Neural Information Processing: Research and Development网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0663653<br><br> <br><br>书目名称Neural Information Processing: Research and Development网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0663653<br><br> <br><br>书目名称Neural Information Processing: Research and Development被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0663653<br><br> <br><br>书目名称Neural Information Processing: Research and Development被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0663653<br><br> <br><br>书目名称Neural Information Processing: Research and Development年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0663653<br><br> <br><br>书目名称Neural Information Processing: Research and Development年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0663653<br><br> <br><br>书目名称Neural Information Processing: Research and Development读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0663653<br><br> <br><br>书目名称Neural Information Processing: Research and Development读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0663653<br><br> <br><br>
FLIRT
发表于 2025-3-21 22:14:51
Networks constructed of neuroid elements capable of temporal summation of signalsmultilevel processing of information. It is also shown that such a statistical analysis is used for textual information processing in the program TextAnalyst. (by Microsystems, Moscow), designed for the automatic semantic analysis of texts.
FIN
发表于 2025-3-22 02:22:27
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minion
发表于 2025-3-22 04:53:47
On Some External Characteristics of Brain-like Learning and Some Logical Flaws of Connectionismtionism are not only logical flawed, but also are inconsistent with some commonly observed human learning behavior. The paper does not present any new learning algorithms, but it is about learning algorithms and what properties they should exhibit.
词汇
发表于 2025-3-22 09:40:21
Extension of Binary Neural Networks for Multi-class Output and Finite Automatae in the way of expressing a Finite Automaton (FA) in terms of recurrent BNNs. We prove that recurrent BNNs simulate any deterministic as well as non-deterministic finite automaton. The proof is constructive, and the construction process is illustrated by suitable examples.
缩影
发表于 2025-3-22 14:20:37
Combination Strategies for Finding Optimal Neural Network Architecture and Weightsry complexity. The learning methodology has been tested using many benchmark databases such as XOR, 10 bit odd parity, handwriting characters from CEDAR, breast cancer and heart disease from UCI machine learning repository. The experimental results, detailed discussion and analysis are included in the chapter.
PALL
发表于 2025-3-22 18:31:54
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否决
发表于 2025-3-22 22:24:46
A Method for Applying Neural Networks to Control of Nonlinear Systemslinear ARX model. The nonlinear controller is then designed in a similar way as designing a controller based on a linear ARX model. Numerical examples are used to illustrate the usefulness of the new method.
财政
发表于 2025-3-23 05:11:19
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绝种
发表于 2025-3-23 07:38:37
Convolutional Spiking Neural Network for Robust Object Detection with Population Code Using Structur, end-stop, blob, eye, etc.). Introducing a population coding scheme in the CSNN architecture, we show how the biologically inspired model attains invariance to changes in size and position of face and ensures the efficiency of face detection.