Information Technology Reference
In-Depth Information
-
Parameters:
I
= maximum number of input signals per category;
J
= maximum number of categories of input signal;
K
= maximum number of antigen in tissue antigen vector;
L
= maximum number of DC cycles;
M
= maximum number of DCs in population;
N
= maximum number of antigen contained per DC ;
P
= maximum number of output signals per DC;
Q
= number of antigens sampled per DC for one cycle.
-
Data Structures:
DC
m
=
s
DC
(
m
)
,a
DC
(
m
)
, o
(
m
)
,t
(
m
)
{
}
- a DC within the population;
T
=
- the tissue;
S
= tissue signal matrix;
s
ij
= a signal type
i
, category
j
in the signal matrix
S
;
A
= tissue antigen vector;
a
k
= antigen index
k
in the tissue antigen vector;
s
DC
=DC signal matrix;
a
DC
= DC antigen vector;
o
= temporary output signal vector for
DC
m
;
o
(
m
) = output signal
p
in the output signal vector of
DC
m
;
o
p
= cumulative output signal vector for
DC
m
;
t
m
= migration threshold for
DC
m
;
w
ijp
= transforming weight from
s
ij
o
p
.
{
S, A
}
Fig. 2.
Tissue and Cell Update components, where
S
i,j
is reduced to
S
j
The data structures are represented graphically in Figure 2. Each
DC
m
trans-
forms each value of
s
DC
(
m
)to
o
p
(
m
) using the following equation with suggested
values for weightings given in Table 1. Both the equation and weights are derived
from observing experiments performed on natural DCs (personal communication
