erick sudjono (4 Ergebnisse)

Paperback. Zustand: Sehr gut. Gebraucht - Sehr gut Leichte Lagerspuren -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. 148 pp. Englisch.

Zustand: New. In.

Zustand: New. 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 conn.

Taschenbuch. Zustand: Neu. Neuware - 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.