P9.4 The operational amplifier-resistor neuron circuit from Figure P9.4(a) needs to be analyzed. Compute fo2 as a function of w₁, W₂, and w3, and of the bias T as indicated on the neuron symbol of Figure 9.4(b). Assume for computation purposes that the two neurons are equivalent. 6000 www 3000 ww 18000 9000 www 12 k ww ww 18000 X₂ 2 S for 2 12000 W₂ -/(x-7) -1 Figure P9.4 High-gain neuron with weights and nonzero threshold: (a) circuit diagram and (b) symbol. (a) Draw the neuron's transfer characteristics as a function of zw (b) Determine the range of activation z that allows for the linear operation of the neuron. Assume fat-fat+1= 14 V. (c) Assume that the neuron needs to classify patterns of two classes and find its responses due to the eight individual input values, which are 102

Database System Concepts
7th Edition
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Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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Chapter1: Introduction
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P9.4 The operational amplifier-resistor neuron circuit from Figure P9.4(a) needs
to be analyzed. Compute fo2 as a function of w₁, W₂, and w3, and of the
bias T as indicated on the neuron symbol of Figure 9.4(b). Assume for
computation purposes that the two neurons are equivalent.
600
W
30002
W
180002
9000
ww
12 k
ww
Www
18000
H
3
Xxz
X4
=-4V
X₁
X₂
Xy
W₁
W₂
for
(a)
12000
www
for
-f(x-7)
W3
T
-1
(b)
Figure P9.4 High-gain neuron with weights and nonzero threshold: (a) circuit diagram and
(b) symbol.
(a) Draw the neuron's transfer characteristics as a function of z= Wix.
(b) Determine the range of activation z that allows for the linear operation
of the neuron. Assume fat-| = |fsat+= 14 V.
(c) Assume that the neuron needs to classify patterns of two classes and
find its responses due to the eight individual input values, which are
vertices of a three-dimensional [-1,1] cube.
Transcribed Image Text:P9.4 The operational amplifier-resistor neuron circuit from Figure P9.4(a) needs to be analyzed. Compute fo2 as a function of w₁, W₂, and w3, and of the bias T as indicated on the neuron symbol of Figure 9.4(b). Assume for computation purposes that the two neurons are equivalent. 600 W 30002 W 180002 9000 ww 12 k ww Www 18000 H 3 Xxz X4 =-4V X₁ X₂ Xy W₁ W₂ for (a) 12000 www for -f(x-7) W3 T -1 (b) Figure P9.4 High-gain neuron with weights and nonzero threshold: (a) circuit diagram and (b) symbol. (a) Draw the neuron's transfer characteristics as a function of z= Wix. (b) Determine the range of activation z that allows for the linear operation of the neuron. Assume fat-| = |fsat+= 14 V. (c) Assume that the neuron needs to classify patterns of two classes and find its responses due to the eight individual input values, which are vertices of a three-dimensional [-1,1] cube.
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