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- W4248346094 abstract "In this paper, two techniques for construction of feedforward neural network are being reviewed: pruning neural network algorithms and constructive neural network algorithms. In pruning method, training starts with a larger than required network and subsequently delete the redundant hidden nodes and redundant weights till there is a satisfactory solution. In the constructive method, training of the network starts with minimum structure and then according to some predefined rule some more layers of neurons are added. A number of major issues are discussed that can be considered while constructing a constructive neural network i.e. how to select network architecture, network growing strategy, weight freezing, optimization technique, activation function and stoppage criteria" @default.
- W4248346094 created "2022-05-12" @default.
- W4248346094 date "2019-12-30" @default.
- W4248346094 modified "2023-09-23" @default.
- W4248346094 title "Constructive Neural Network: A Framework" @default.
- W4248346094 doi "https://doi.org/10.35940/ijeat.b3304.129219" @default.
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