Titlebook: Neural Networks in Telecommunications; Ben Yuhas,Nirwan Ansari Book 1994 Springer Science+Business Media New York 1994 ATM.Routing.Switchi

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Structure and Performance of Neural Nets in Broadband System Admission Control,verview of ATM is provided by Hiramatsu in a preceding chapter. The major aim is to present and to compare possible neural net structures which can be applied to CAC and to show the performance of a basic neural net under various stationary and non-stationary load conditions. In Section 2 basic prin

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Neural Network Channel Equalization,nuous growth of the telecommunications market has demanded increased spectrum efficiency on band limited channels. This has been met by the use of higher speed data transmissions which are more sensitive to channel disturbances. In turn, this has created the need for more effective equalization sche

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Text-Independent Talker Verification Using Cohort Normalized Scores,nent of variation is due to the different telephone handsets or microphone frequency characteristics (Rosenberg and Soong, 1992). Lack of availability of telephone speech databases has also contributed to slow progress in the solution of these problems, though clean speech databases such as TIMIT (G

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Neural Network Applications in Character Recognition and Document Analysis,ions of this technology. This chapter outlines optical character recognition document analysis systems developed at AT&T Bell Labs that combine the strengths of machine-learning algorithms with high-speed, fine-grained parallel hardware. From our point of view, the most significant aspect of this wo