Artificial Neural Nets Problem Solving Methods: 7th by Eva M. Ortigosa, Antonio Cañas, Eduardo Ros, Richard R.

By Eva M. Ortigosa, Antonio Cañas, Eduardo Ros, Richard R. Carrillo (auth.), José Mira, José R. Álvarez (eds.)

The two-volume set LNCS 2686 and LNCS 2687 represent the refereed court cases of the seventh overseas Work-Conference on synthetic and common Neural Networks, IWANN 2003, held in Ma?, Menorca, Spain in June 2003.

The 197 revised papers provided have been conscientiously reviewed and chosen for inclusion within the e-book and tackle the subsequent issues: mathematical and computational equipment in neural modelling, neurophysiological info research and modelling, structural and sensible versions of neurons, studying and different plasticity phenomena, advanced platforms dynamics, cognitive tactics and synthetic intelligence, methodologies for internet layout, bio-inspired platforms and engineering, and purposes in a wide number of fields.

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By Eva M. Ortigosa, Antonio Cañas, Eduardo Ros, Richard R. Carrillo (auth.), José Mira, José R. Álvarez (eds.)

The two-volume set LNCS 2686 and LNCS 2687 represent the refereed court cases of the seventh overseas Work-Conference on synthetic and common Neural Networks, IWANN 2003, held in Ma?, Menorca, Spain in June 2003.

The 197 revised papers provided have been conscientiously reviewed and chosen for inclusion within the e-book and tackle the subsequent issues: mathematical and computational equipment in neural modelling, neurophysiological info research and modelling, structural and sensible versions of neurons, studying and different plasticity phenomena, advanced platforms dynamics, cognitive tactics and synthetic intelligence, methodologies for internet layout, bio-inspired platforms and engineering, and purposes in a wide number of fields.

Show description

Read Online or Download Artificial Neural Nets Problem Solving Methods: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN2003 Maó, Menorca, Spain, June 3–6, 2003 Proceedings, Part II PDF

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FPGA can be configured as custom co-processors for a particular task. In this way we can design specific hardware for any application enabling the exploitation of the inherent parallelism of the implemented algorithms. The hardware versions of MLP and XMLP have been implemented and tested on a Celoxica [7] RCI000-PP PCI prototyping board containing a single Xilinx [8] Virtex 2000E FPGA, and 4 RAM memory banks. The memory is accessible by the FPGA and by the PCI bus. It can be used to exchange data between the computer and the co-processor.

Moreover, for each set of logical clauses there exists the corresponding NFC neural network, which is generated by a compiler program based on the Neuro-Symbolic approach introduced by Aiello et al. [9]. The NFC computation captures the symbolic meaning of the corresponding set of logical clauses. The non-monotonic NFC model (grounded on the same principles of monotonic one), is based on an appropriate use of inhibitions, to implement a parallel non-monotonic reasoning (in this case, inhibitions playa key role in asserting and retracting facts [10]).

References 1. V. Beiu, "New VLSI complexity results for threshold gate comparison," Proc. of SBRN'96 (1996). 2. V. M. G. Ferreira and F. M. G. Franl;a, "Weightless implementations of weighted neural networks," Proc. of the IV Brazilian Symposium on Neural Networks SBRN'97, Goiania, GO, Brazil, vol. II, 53-54 (1997). 3. W. S. McCulloch and W. Pitts, "A Logical Calculus of the Ideas Immanent in the Nervous Activity," Bull. Math. Bioph. 1943. 4. A. Aiello, E. Burattini, G. Tamburrini, "Purely Neural, Rule-Based Diagnostic Systems.

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