Titlebook: Artificial Neural Nets. Problem Solving Methods; 7th International Wo José Mira,José R. Álvarez Conference proceedings 2003 Springer-Verlag

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Science as Social? - Yes and Notron. The implementations have been developed and tested onto a FPGA prototyping board. The designs have been defined using a high level hardware description language, which enables the study of different implementation versions with diverse parallelism levels. The test bed application addressed is

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Feminism, Time, and Nonlinear Historyforward artificial neural network. For this purpose, we use field- programmable gate arrays i.e. .. However, as the state-of-the-art . still lack the gate density necessary to the implementation of large neural networks of thousands of neurons, we use a stochastic process to implement the computatio

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https://doi.org/10.1007/978-3-319-89692-2tectures and DSP microprocessors. CNN are analysed from the perspective of Systems Theory, giving rise to an alternative model to those found in the literature available. Dynamic equations and their solutions, stability analysis and real-time implementation architecture are described in this paper a

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Suvi Keskinen,Pauline Stoltz,Diana Mulinarilementing standard boolean functions can be used to replace conventional boolean gates and achieve reduced circuit complexity. The performance of the gates and multiplier are simulated in HSPICE and the results are presented.

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Epilogue: We Should All Be Dreaming Vol. 3he ., with a technique for enhancing the noise immunity of threshold logic gates: .. Another idea included in the design of the SPD-NTL gates is the use of two threshold logic banks implementing . and ., and working together with the . blocks for enhanced performances. Simulations in 0.25 ìm CMOS @