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Titlebook: Neural Network Parallel Computing; Yoshiyasu Takefuji Book 1992 Springer Science+Business Media New York 1992 VLSI.communication.computer.

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樓主: ANNOY
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發(fā)表于 2025-3-25 05:44:34 | 只看該作者
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發(fā)表于 2025-3-25 10:20:21 | 只看該作者
Yoshiyasu Takefujispheres and their variation among the stars, and the underlying fine structure that affects or determines these global properties. After an introductory discussion of the gross vertical structure of a stellar chromosphere, attention is given to the chromospheric geometric extent and its dependence o
23#
發(fā)表于 2025-3-25 13:27:12 | 只看該作者
spheres and their variation among the stars, and the underlying fine structure that affects or determines these global properties. After an introductory discussion of the gross vertical structure of a stellar chromosphere, attention is given to the chromospheric geometric extent and its dependence o
24#
發(fā)表于 2025-3-25 17:34:05 | 只看該作者
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Crossbar Switch Scheduling Problems,sis McCulloch-Pitts binary neural network is used for scheduling time-multiplex crossbar switches in order to demonstrate the effects of hysteresis. Time-multiplex crossbar switching systems must control traffic on demand such that packet blocking probability and packet waiting time are minimized. T
26#
發(fā)表于 2025-3-26 01:07:59 | 只看該作者
Four-Coloring and K-Colorability Problems, of a map in such a way that no two adjacent regions (that is, regions sharing some common boundary) are of the same color. This Chapter presents a neural network parallel algorithm based on the McCulloch-Pitts binary neuron model. A 4 × n neural array is used to color a map of n regions where each
27#
發(fā)表于 2025-3-26 06:01:43 | 只看該作者
28#
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Channel Routing Problems,ign of VLSI circuits and printed circuit boards. The problem is to route the given interconnections between two rows of terminals on a multi-layer channel where the channel area must be minimized. Although several algorithms have been reported for two-layer problems, two-layer-and-over-the-cell prob
29#
發(fā)表于 2025-3-26 14:35:31 | 只看該作者
RNA Secondary Structure Prediction, set problem and is slightly modified for predicting the RNA secondary structure. The other is modified from the graph planarization algorithm discussed in Chapter 4 and it takes advantage of molecular thermodynamics using a part of Tinoco‘s model. Both simulators were developed on a Macintosh machi
30#
發(fā)表于 2025-3-26 19:50:25 | 只看該作者
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