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  • Elsevier  (185)
  • Springer  (100)
  • Springer Nature  (37)
  • Cambridge University Press  (22)
  • Oxford University Press  (22)
  • American Geophysical Union (AGU)
  • American Physical Society (APS)
  • 1995-1999  (366)
Collection
Keywords
Publisher
Years
Year
  • 1
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    Unknown
    Synthetic Pathways for New Tubular Transition Metal Hydroxo- and Fluoro-Selenites: Crystal Structures ofM12(X)2(SeO3)8(OH)6(M=Co2+,Ni2+;X= OH−) (1996)
    Elsevier
    Details
    Publication Date: 1996-11-01
    Print ISSN: 0022-4596
    Electronic ISSN: 1095-726X
    Topics: Chemistry and Pharmacology
    Published by Elsevier
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    PAPER CURRENT
  • 2
    Electronic Resource
    Electronic Resource
    Whitrow, Magda: Julius Wagner-Jauregg (1857–1940) : London, Smith-Gordon/Niigata-Shi, 1993 (1995)
    Cambridge : Cambridge University Press
    The @British journal for the history of science 28 (1995), S. 114-115 
    Details
    ISSN: 0007-0874
    Source: Cambridge Journals Digital Archives
    Topics: History , Natural Sciences in General
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1017/S0007087400032817
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    Paper (German National Licenses)
    Fulltext
  • 3
    Electronic Resource
    Electronic Resource
    The last drawing on the famous blackboard – relating studio teaching to design research (1996)
    Cambridge : Cambridge University Press
    Architectural research quarterly 1 (1996), S. 10-15 
    Details
    ISSN: 1359-1355
    Source: Cambridge Journals Digital Archives
    Topics: Architecture, Civil Engineering, Surveying
    Notes: The history of the relationship of studio teaching to research since the Oxford Conference has been one of babies thrown out with bathwater. Nearly 40 years on the need for research to underpin and invigorate the acts of designing is ever more keenly felt. This paper starts from a belief that the fruitful linkage of the two requires new approaches to both – that the past 40 years shows that it does not happen automatically. Designing is considered as a series of tangible acts where the nature of each operation affects not just the outcome of the project but also the intention of the designer. This puts a renewed emphasis on the means and tools of designing, on the need for operative theories which avoid reductivism and to explore the difficulty of transforming an intention into an architectural hypothesis.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1017/S1359135500003031
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    Paper (German National Licenses)
    Fulltext
  • 4
    Electronic Resource
    Electronic Resource
    Medical lecturing in Georgian London (1995)
    Cambridge : Cambridge University Press
    The @British journal for the history of science 28 (1995), S. 91-99 
    Details
    ISSN: 0007-0874
    Source: Cambridge Journals Digital Archives
    Topics: History , Natural Sciences in General
    Notes: Viewed in the light of the discussions of scientific lecturing in eighteenth-century London contained in this issue, the case of medicine may be said to be both more of the same but also something different.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1017/S0007087400032714
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    Paper (German National Licenses)
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  • 5
    Electronic Resource
    Electronic Resource
    On neural network design — Part I: Using the MVQ algorithm (1998)
    Springer
    Circuits, systems and signal processing 17 (1998), S. 195-218 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract In this two-part study we present a new design methodology for neural classifiers. The design procedure utilizes a multiclass vector quantization (MVQ) algorithm for information extraction from the training set. The extracted information suffices to specify the hidden layer in a canonical neural network architecture. The extracted information also leads to the specification of neuron inhibition rules and subsequently the design of the hidden layer-to-output map. In Part I of the study we focus attention on the MVQ algorithm and how it is used to extract information from a training set. The extracted information is referred to as thecodebook. The codebook is used to directly specify the hidden layer. This specification can take the form of a perceptron layer, a radial basis layer, or a heterogeneous layer involving a mixture of neuron types. These and otherh-layer specifications are determined directly from the same extracted information. The MVQ codebook also suffices to scale the activation function of each neuron. In Part II we consider the nonsimplistic hidden layer-to-output map design. We note that the MVQ algorithm, as it extracts information, decomposes the design set into disjoint neighborhoods. For each neighborhood we identify subsets of the hidden layer neurons, which are significant sensors for the neighborhood. For each such subset we construct an output map. Inhibition rules are established to ensure that the proper output map is activated. In benchmark simulations the overall design exhibits excellent performance, to the extent that we are hard pressed to identify bounds on performance, if any.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01202853
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    Paper (German National Licenses)
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  • 6
    Electronic Resource
    Electronic Resource
    Neural network training enhancement (1996)
    Springer
    Circuits, systems and signal processing 15 (1996), S. 467-480 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract In this study we explore the use of nonlinear embedding maps to expand the dimension of the input space. The efficacy of such maps to speed training and to enhance performance is illustrated through several examples. A natural connection to nonlinear synaptic interconnects is also developed.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01183155
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    Paper (German National Licenses)
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  • 7
    Electronic Resource
    Electronic Resource
    Function emulation using MVQ neural networks (1999)
    Springer
    Circuits, systems and signal processing 18 (1999), S. 315-329 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract In earlier studies a multiclass vector quantization (MVQ)-based neural network design was explored for pattern classification. We reconsider that design here in the context of function emulation. With proper adjustment, the MVQ design demonstrates excellent performance. Moreover, the design algorithms sense discontinuities in the data and replicate them in the network.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01200785
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  • 8
    Electronic Resource
    Electronic Resource
    The approximating capability of fast forms (1999)
    Springer
    Circuits, systems and signal processing 18 (1999), S. 365-376 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract In earlier studies the concept of a fast form was generalized to a format that unified such discrete transform examples as the FFT, the FCT, the FST, and the FHT. In this study we consider the approximation of arbitrary linear maps by fast forms. Using simulation we evaluate the approximation capabilities of the generalized fast form.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01200788
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    Paper (German National Licenses)
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  • 9
    Electronic Resource
    Electronic Resource
    Auxilliary computations for perceptron networks (1996)
    Springer
    Circuits, systems and signal processing 15 (1996), S. 51-69 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract In this study we consider a multilayer perceptron network with sigmoidal activation and trained via the backpropagation algorithm. The output of all neurons is collected and a simple linear regression is performed. It is shown that untrained networks with randomly chosen coefficients perform comparably with fully trained networks. This result casts a new light on the role of activation functions, the impact of dimensionality, and the efficacy of training algorithms such as backpropagation.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01187693
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    Paper (German National Licenses)
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  • 10
    Electronic Resource
    Electronic Resource
    On neural network design part II: Inhibition and the output map (1998)
    Springer
    Circuits, systems and signal processing 17 (1998), S. 613-635 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract In this two part study, we presented a new design methodology for neural classifiers. The design procedure utilizes a multiclass vector quantization, MVQ, algorithm for information extraction from the training set. The extracted information suffices to specify the hidden layer in a canonical neural network architecture. The extracted information also leads to the specification of neuron inhibition rules and subsequently to the design of the hidden layer to output map. In part I of that study, we focused attention on the MVQ algorithm and how it is used to extract information from a training set. The extracted information is used to directly specify the hidden layer. In part II, we consider the non-simplistic hidden layer to output map design. We note that the MVQ algorithm, as it extracts information, decomposes the design set into disjoint neighborhoods. For each neighborhood we identify subsets of the hidden layer neurons which are significant sensors for the neighborhood. For each subset we construct an output map. Inhibition rules are established to assure that the proper output map is activated. In benchmark simulations, the overall design exhibits performance, to the extent that we are hard pressed to identify bounds on performance, if any.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01203108
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    Paper (German National Licenses)
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