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Titlebook: Neural Networks for Vision, Speech and Natural Language; R. Linggard (Professor),D. J. Myers,C. Nightingale Book 1992 Springer Science+Bus

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Connectionist Natural Language Processing: An Introductionthe ascendancy of symbolic artificial intelligence in the 1970s. Hinton [1] published some seminal work on distributed semantic representations. Connectionist parsing, in the broad sense, got under way in 1982 with the localist work of Small, Cottrell and Shastri, Cottrell and Small, and the similar
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Functional Compositionality and Soft Preference RulesLP). In a recent review of the literature [1], connectionist representations were classified into different types. Some of these were viewed as being very similar to their classical counterparts in that they contain explicit symbol tokens and/or have spatially concatenative constituent structure (e.
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Applications of Multilayer Perceptrons in Text-To-Speech Synthesis Systemsrepresentation. Here we report on a number of applications of MLPs; for the latter purpose, and for tasks useful in other areas of text-to-speech synthesis. In most of these we have been concerned with improving performance — by varying parameters or making structural alterations to the basic regime
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Finite Wordlength, Integer Arithmetic Multilayer Perceptron Modelling for Hardware Realizationan analogue implementation is being contemplated, it is necessary to know whether the inherent dynamic range and accuracy achievable with the components being used (e.g. resistor or capacitor values) will be adequate to achieve the desired performance of the net.
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J. B. Waitef contaminants from water and reducing the waste burden on the environment. The research involves exploring and characterizing different waste-derived materials, such as agricultural residues, industrial by-products, and discarded materials, to evaluate their adsorption capacities for various water
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