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Titlebook: Neural Networks in Optimization; Xiang-Sun Zhang Book 2000 Springer Science+Business Media Dordrecht 2000 Mathematica.Optimization Theory.

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發(fā)表于 2025-3-21 20:02:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Neural Networks in Optimization
編輯Xiang-Sun Zhang
視頻videohttp://file.papertrans.cn/664/663720/663720.mp4
叢書名稱Nonconvex Optimization and Its Applications
圖書封面Titlebook: Neural Networks in Optimization;  Xiang-Sun Zhang Book 2000 Springer Science+Business Media Dordrecht 2000 Mathematica.Optimization Theory.
描述People are facing more and more NP-complete or NP-hard problems of a combinatorial nature and of a continuous nature in economic, military and management practice. There are two ways in which one can enhance the efficiency of searching for the solutions of these problems. The first is to improve the speed and memory capacity of hardware. We all have witnessed the computer industry‘s amazing achievements with hardware and software developments over the last twenty years. On one hand many computers, bought only a few years ago, are being sent to elementary schools for children to learn the ABC‘s of computing. On the other hand, with economic, scientific and military developments, it seems that the increase of intricacy and the size of newly arising problems have no end. We all realize then that the second way, to design good algorithms, will definitely compensate for the hardware limitations in the case of complicated problems. It is the collective and parallel computation property of artificial neural net- works that has activated the enthusiasm of researchers in the field of computer science and applied mathematics. It is hard to say that artificial neural networks are solvers of t
出版日期Book 2000
關(guān)鍵詞Mathematica; Optimization Theory; algorithms; combinatorial optimization; linear optimization; network; ne
版次1
doihttps://doi.org/10.1007/978-1-4757-3167-5
isbn_softcover978-1-4419-4836-6
isbn_ebook978-1-4757-3167-5Series ISSN 1571-568X
issn_series 1571-568X
copyrightSpringer Science+Business Media Dordrecht 2000
The information of publication is updating

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Xiang-Sun Zhangreuse solid organic wastes from agriculture and food processing rather than simply discarding them leads naturally to the use of SSF. Further, some microbial pr- ucts, such as fungal enzymes and spores, amongst others, are produced in higher yields or with better properties in the environment provid
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Book 2000ns in the case of complicated problems. It is the collective and parallel computation property of artificial neural net- works that has activated the enthusiasm of researchers in the field of computer science and applied mathematics. It is hard to say that artificial neural networks are solvers of t
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Xiang-Sun Zhang, a desire to reuse solid organic wastes from agriculture and food processing rather than simply discarding them leads naturally to the use of SSF. Further, some microbial pr- ucts, such as fungal enzymes and spores, amongst others, are produced in higher yields or with better properties in the environment provid978-3-642-06839-3978-3-540-31286-4
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Xiang-Sun Zhang, a desire to reuse solid organic wastes from agriculture and food processing rather than simply discarding them leads naturally to the use of SSF. Further, some microbial pr- ucts, such as fungal enzymes and spores, amongst others, are produced in higher yields or with better properties in the environment provid978-3-642-06839-3978-3-540-31286-4
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