Artificial Intelligence in Construction Management
66,90 €*
Sofort verfügbar, Lieferzeit: 1-3 Tage
Produktnummer:
9783639082470
Many studies have found that High-order neuralnetwork (HONN) is enables to boost neural networkperformance. This research utilize a hybrid modelwith HONN and Linear Neural Network (NN) concepts todevelop high-order and linear neural connectors forlayer connections. Consequently, this developed HNNwill involve a linear/nonlinear switch for eachneural layer connection. Furthermore, fuzzy logic(FL) has already been introduced to neural networkand it is also found that the combination of FL andFNN has been proof-reading. Furthermore, fuzzy logic(FL) also has been introduced to neural network andbeen proofed with fuzzy neural network (FNN).Therefore, this research fuses fuzzy logicadditionally to develop a fuzzy hybrid neuralnetwork (FHNN) architecture. Sequentially, geneticalgorithm (GA) is employed to globally optimizemembership function of FL and HNN topology andparameters.
| Autor: | Sudjono, Erick |
|---|---|
| EAN: | 9783639082470 |
| Sprache: | Englisch |
| Seitenzahl: | 148 |
| Produktart: | kartoniert, broschiert |
| Verlag: | VDM Verlag Dr. Müller VDM Verlag Dr. Müller e.K. |
| Untertitel: | Evolutionary Fuzzy Hybrid Neural Network as decision-making machine |
| Schlagworte: | Künstliche Intelligenz (KI) / Artificial Intelligence |
| Größe: | 9 × 150 × 220 |
| Gewicht: | 238 g |
