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Titlebook: Neural Network Simulation Environments; Josef Skrzypek Book 1994 Springer Science+Business Media New York 1994 algorithms.development.inte

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書(shū)目名稱(chēng)Neural Network Simulation Environments
編輯Josef Skrzypek
視頻videohttp://file.papertrans.cn/664/663690/663690.mp4
叢書(shū)名稱(chēng)The Springer International Series in Engineering and Computer Science
圖書(shū)封面Titlebook: Neural Network Simulation Environments; Josef Skrzypek Book 1994 Springer Science+Business Media New York 1994 algorithms.development.inte
描述.Neural Network Simulation Environments. describes some ofthe best examples of neural simulation environments. .All current neural simulation tools can be classified into fouroverlapping categories of increasing sophistication in softwareengineering. The least sophisticated are undocumented and dedicatedprograms, developed to solve just one specific problem; these toolscannot easily be used by the larger community and have not beenincluded in this volume. The next category is a collection ofcustom-made programs, some perhaps borrowed from other applicationdomains, and organized into libraries, sometimes with a rudimentaryuser interface. More recently, very sophisticated programs started toappear that integrate advanced graphical user interface and other dataanalysis tools. These are frequently dedicated to just one neuralarchitecture/algorithm as, for example, three layers of interconnectedartificial `neurons‘ learning to generalize input vectors using abackpropagation algorithm. Currently, the most sophisticatedsimulation tools are complete, system-level environments,incorporating the most advanced concepts in software engineering thatcan support experimentation and model developm
出版日期Book 1994
關(guān)鍵詞algorithms; development; interfaces; language; modeling; networks; neural networks; simulation; software; sof
版次1
doihttps://doi.org/10.1007/978-1-4615-2736-7
isbn_softcover978-1-4613-6180-0
isbn_ebook978-1-4615-2736-7Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 1994
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NBC: A Workstation for Biological Neural Network Simulation, conditions. NBC provides an analysis tool highly useful in the study of network behavior, at both global and unitary levels, and in both the frequency and the temporal domain. NBC is menu driven with a user-friendly XWindow/Motif interface and produces graphic outputs.
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Book 1994tedartificial `neurons‘ learning to generalize input vectors using abackpropagation algorithm. Currently, the most sophisticatedsimulation tools are complete, system-level environments,incorporating the most advanced concepts in software engineering thatcan support experimentation and model developm
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en the solar wind and interstellar dust and gas, cosmic ray modulation, magnetospheres, temporal variations in the solar environment, and the cosmic ray isotope record preserved in paleoclimate data..978-94-017-8481-8978-1-4020-4557-8Series ISSN 0067-0057 Series E-ISSN 2214-7985
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Edmond Mesrobian,Josef Skrzypek,Andy Lee,Brain Ringeren the solar wind and interstellar dust and gas, cosmic ray modulation, magnetospheres, temporal variations in the solar environment, and the cosmic ray isotope record preserved in paleoclimate data..978-94-017-8481-8978-1-4020-4557-8Series ISSN 0067-0057 Series E-ISSN 2214-7985
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Paul Sajda,Ko Sakai,Shih-Cheng Yen,Leif H. Finkelen the solar wind and interstellar dust and gas, cosmic ray modulation, magnetospheres, temporal variations in the solar environment, and the cosmic ray isotope record preserved in paleoclimate data..978-94-017-8481-8978-1-4020-4557-8Series ISSN 0067-0057 Series E-ISSN 2214-7985
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