Artificial Intelligence in Construction Management

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.