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Titlebook: Neural Networks; Proceedings of the S E. R. Caianiello (Professor) Conference proceedings 1968 Springer-Verlag Berlin · Heidelberg 1968 man

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书目名称Neural Networks
副标题Proceedings of the S
编辑E. R. Caianiello (Professor)
视频video
图书封面Titlebook: Neural Networks; Proceedings of the S E. R. Caianiello (Professor) Conference proceedings 1968 Springer-Verlag Berlin · Heidelberg 1968 man
描述Sciences may be nowadays grouped into three classes, having as their subjects of study respectively Matter, Life and Intelligence. That "Intelligence" may be studied in a quantitative manner is a discovery of our age, not less significant in many ways than the 17th ceiltury realization that celestial phenomena are of one and the same nature as terrestrial and all other physical accidents. As the latter was accomplished through and accompanied by a major revolution in philosophy and method, so is now the scientific investigation of intelligent phenomena - although harely begun - already causing an unprecedented revolution in all our previous conceptions as mind and machine, society and organization. What electronic com­ puters have already accomplished in disclosing perspectives to sciences and imposing new approached to management is but a negligible change, if compared to those yet in store, which will closely follow the understanding of the many as yet unknown functional principles which make nervous systems act and react the way they do. The study of Neural Networks is the key point in the systematic quantitative investigation of such phenomena. With patience and humility, neuro
出版日期Conference proceedings 1968
关键词management; networks; neural networks; organization; society
版次1
doihttps://doi.org/10.1007/978-3-642-87596-0
isbn_softcover978-3-642-87598-4
isbn_ebook978-3-642-87596-0
copyrightSpringer-Verlag Berlin · Heidelberg 1968
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Models of Certain Nonlinear Systems,A continuous model of linear binary threshold elements and some of its properties are discussed.
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A Statistical Clock,In this note I want to present a mathematical model, which may be described as a statistical clock and which some years ago I constructed under the stimulus of a discussion with E. . and V. v. . on cyclic recurrences in ‘thinking machines’.
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Statistical Approach to the Study of Neural Networks,eurons by means of mathematical analysis assisted by physiological experimentation, but rather a general theoretical approach to the study of neural phenomena. We are fully aware of its shortcomings deriving from the lack of experimental testing and exhaustive evidence.
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