|
|
 |
|
Viewing report
|
|
|
|
Artificial Intelligence in Construction Management. Edition No. 1
VDM Publishing House, Sep 2008, Pages: 148
Many studies have found that High-order neural
network (HONN) is enables to boost neural network
performance. This research utilize a hybrid model
with HONN and Linear Neural Network (NN) concepts to
develop high-order and linear neural connectors for
layer connections. Consequently, this developed HNN
will involve a linear/nonlinear switch for each
neural layer connection. Furthermore, fuzzy logic
(FL) has already been introduced to neural network
and it is also found that the combination of FL and
FNN has been proof-reading. Furthermore, fuzzy logic
(FL) also has been introduced to neural network and
been proofed with fuzzy neural network (FNN).
Therefore, this research fuses fuzzy logic
additionally to develop a fuzzy hybrid neural
network (FHNN) architecture. Sequentially, genetic
algorithm (GA) is employed to globally optimize
membership function of FL and HNN topology and
parameters.
|
|
|
|
