Semantic Scholar
Open Access
2021
14100 sitasi
Pattern Classification
Katherine L. Silversides
Abstrak
The computational neural-network structures described in the literature are often based on the concept of linear neural units (LNUs). The biological neuron is a complex computing element, which performs more computations than just linear summation. The computational efficiency of the neural network depends on its structure and the training methods employed. Higher-order combinations of inputs and weights will yield higher neural performance. In this paper, a quadratic-neural unit (QNU) has been developed using a novel general matrix form of the quadratic operation. We have used the QNU for realizing different logic circuits.
Penulis (1)
K
Katherine L. Silversides
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2021
- Bahasa
- en
- Total Sitasi
- 14100×
- Sumber Database
- Semantic Scholar
- DOI
- 10.1002/9781118142882.ch8
- Akses
- Open Access ✓