• No results found

Mixed-Signal Neural Network Implementation with Programmable Neuron

N/A
N/A
Protected

Academic year: 2020

Share "Mixed-Signal Neural Network Implementation with Programmable Neuron"

Copied!
119
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 2.3: (730a) The output voltages VA (dashed line) and VB (solid line) for VG of 700mV ,mV , and 800mV
Figure 2.5: The PWL neuron outputs that show the reconfigurable sigmoid functions forVand the linear functions are shown forG = 710mV and the linear functions for VG = 250mV
Figure 2.8: The corner and temperature post-layout analysis for different conditions of ff,ss, sf, and fs at temperatures of 27C, -55C, and 125C showing the deviation from theactivation function at 27C.
Figure 3.1: System-level configuration of the proposed mixed-signal neural network.
+7

References

Related documents

Whereas, applying the filter to the same profile of water pipe at a depth (0.632m)near the road for the faculty of pharmacy at the direction from north to south. When applying

This article is discussed from all the aspects: Identify the concept of local government debt, classing and comparing the result with other information, make

Traffic offloading through a mobile WiFi device reshapes the distribution of the available capacity (in terms of the allocated data rate to users) throughout the cell, but this

Therefore BAY 11-7082 could prohibit the NF-кB signals from transferring into nuclear and decrease the preference that differentiation of BMSCs into hepatocyte-like

Any such hypothesis can be falsified (all too easily, in actual fact) by showing that it fails to provide a descriptively adequate grammar for primary

This paper studied the global robust stability analysis problem for uncertain neutral-type neural networks with discrete interval and distributed time-varying delays.. Novel