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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Modeling and FPGA Implementation of ANN Based Electronic Circuits

Modeling and FPGA Implementation of ANN Based Electronic Circuits

Merza Al-Abasy, Marwah Ezzulddin
Shukr Mahmood, Basil

Paperback

Technology & Engineering

ISBN10: 6202791098
ISBN13: 9786202791090
Publisher: Justfiction Ed
Published: Dec 16 2020
Pages: 164
Weight: 0.55
Height: 0.38 Width: 6.00 Depth: 9.00
Language: English
In this book, a new approach is proposed to build neural network architectures. Previous works are used back-propagation. The major limitation of this network that it can only learn an input - output mapping which is static. Recurrent neural networks (RNNs) have features that well define dynamic systems which have attracted the attention of researches in this field. Generally, recurrent neural network requires less neurons in its structure and less computation time. Also, they show high immunity against external noise. In this book, a new approach is proposed to build neural network architectures. Previous works are used back-propagation. The major limitation of this network that it can only learn an input - output mapping which is static. Recurrent neural networks (RNNs) have features that well define dynamic systems which have attracted the attention of researches in this field. Generally, recurrent neural network requires less neurons in its structure and less computation time. Also, they show high immunity against external noise.

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