Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
neural networks impact factor | 1.77 | 0.8 | 2317 | 96 | 29 |
neural | 1.28 | 0.5 | 6233 | 14 | 6 |
networks | 2 | 0.9 | 6590 | 35 | 8 |
impact | 0.4 | 0.3 | 858 | 6 | 6 |
factor | 1.84 | 0.5 | 7914 | 20 | 6 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
neural networks impact factor | 0.86 | 0.3 | 8418 | 60 |
neural networks journal impact factor | 1.27 | 0.8 | 7231 | 21 |
neural network world impact factor | 0.29 | 0.3 | 5458 | 36 |
neural network journal impact factor | 1.68 | 0.9 | 3661 | 6 |
network neuroscience impact factor | 0.51 | 0.9 | 8673 | 85 |
article on neural networks | 0.24 | 0.5 | 5177 | 89 |
importance of neural networks | 0.19 | 0.7 | 9254 | 14 |
papers on neural networks | 0.91 | 1 | 837 | 38 |
overview of neural networks | 0.41 | 0.4 | 5744 | 62 |
factor graph neural networks | 0.16 | 0.2 | 9801 | 84 |
why neural networks work | 0.95 | 0.5 | 6096 | 17 |
problems with neural networks | 0.04 | 0.5 | 2789 | 23 |
feature importance in neural networks | 1.98 | 0.8 | 1879 | 44 |
research papers on neural networks | 1.68 | 0.4 | 6029 | 19 |
future of neural networks | 0.57 | 0.3 | 7027 | 38 |
why are neural networks important | 0.79 | 0.1 | 4859 | 2 |
numerical problems on neural networks | 0.98 | 0.9 | 4759 | 14 |
journal of neural networks | 0.17 | 0.6 | 7392 | 60 |
neural network feature importance | 1.35 | 0.5 | 179 | 44 |
functions of neural networks | 0.69 | 0.8 | 4265 | 60 |
explanation of neural networks | 1.07 | 0.7 | 587 | 49 |