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Titlebook: Engineering Applications of Bio-Inspired Artificial Neural Networks; International Work-C José Mira,Juan V. Sánchez-Andrés Conference proce

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https://doi.org/10.1007/978-3-0348-5103-9me off early in the design process a high regular architecture was achieved. Then, the VHDL parametric description of the network was realized. The description has the advantage of being generic, flexible and can be easily changed at the user demand. To validate our approach, an ANN for electrocardi
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,Gehörgerechte Schallmeßtechnik,rithm. A pipelined adaptation of the on-line backpropagation algorithm is shown. It better exploits the parallelism because both the forward and backward phases can be performed simultaneously. As a result, a combined systolic array structure is proposed for both phases. Analytic expressions show th
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Large neural net simulation under Beowulf-like systems,In this work we broach the problem of large neural network simulation using low-cost distributed systems. We have developed for the purpose high-performance client-server simulation software, where the server runs on a multiprocessor Beowulf system. On the basis of a performance analysis, we propose an estimator for the simulation time.
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Tarifvertrag Mobiles Arbeiten (TV MobA),, a unified framework to analyse and compare learning methods has not appeared yet. In this paper, a multiagent-based approach is presented as an adequate model for hybrid learning. This approach is built upon the concept of bias.
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