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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Proposal of neural network model for neurocognitive rehabilitation and its comparison with fuzzy expert system model

Fig. 3

The used neural network topology 5-7-9. There are 5 neurons in the input layer, where each represents a value of the ACE-R test result. There are 9 neurons in the output layer, where each neuron represents a specific area of the CHC model of intelligence: crystallized intelligence (GC), fluid intelligence (GF), reading and writing ability (GRW), quantitative reasoning (GQ), short-term memory (GSM), long-term storage (GLR) and retrieval, visual processing (GV), processing speed (GS), and auditory processing (GA)

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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