Titlebook: Emerging Trends in Neuro Engineering and Neural Computation; Asim Bhatti,Kendall H. Lee,Chee Peng Lim Book 2017 Springer Nature Singapore

Mosaic

ETCH

Mining Outliers from Medical Datasets Using Neighbourhood Rough Set and Data Classification with Neuh a radial basis function neural network (RBFN). Data samples that are not selected for training is considered as outliers. Four medical datasets from a famous repository were used and results were compared in terms of number of training samples and accuracy between the proposed model and RBFN. The

剛開(kāi)始

A Modified Functional Link Neural Network for Data Classificationthe FLNN are proposed for undertaking data classification tasks. The main objective is to optimize the FLNN by formulating a parsimonious network with less complexity and lower computational burden as compared with the original FLNN. The methodology consists of selecting a number of important expand

集聚成團(tuán)

Chronological

Dissonance

災(zāi)難

Pillory

grounded

https://doi.org/10.1007/978-3-642-15964-0y study to explore the changes in the electrophysiological properties of neurons in response to DHA. Our results indicated the potential use of DHA in improving neuronal signalling indicating it could be helpful in improving the diseased condition of neuronal disorders particularly in Alzheimer’s disease (AD).

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