Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research.
By S. Agatonovic-Kustrin, R. Beresford. Journal of Pharmaceutical and Biomedical Analysis, 2000
1,684 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Computational Theory and Mathematics, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/3c5ba2a516c6d45733eb1df128f717617ebfc778
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Analytical Chemistry
- Humaira Arshad
- Aman Bin Jantan
- Prashansa Agrawal
- Oludare Isaac Abiodun
- Abiodun Esther Omolara
- Kemi Victoria Dada
In Computational Theory and Mathematics
- Humaira Arshad
- Aman Bin Jantan
- Prashansa Agrawal
- Oludare Isaac Abiodun
- Abiodun Esther Omolara
- Kemi Victoria Dada
In Control and Systems Engineering
- Humaira Arshad
- Aman Bin Jantan
- Prashansa Agrawal
- Oludare Isaac Abiodun
- Abiodun Esther Omolara
- Kemi Victoria Dada
Citations in the corpus
- Artificial Intelligence in Drug Discovery and Development (2018, background): “The accessibility of immense statistics in life sciences and a speedy development in machine learning algorithms led to an evolution of AI-based start-up companies focused on drug discovery over the recent years [1].”
- Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition (2019, methodology): “The study by Agatonovic and Beresford [136] applied NN to a pharmaceutical challenge as an alternative to the conventional surface approach, and interestingly, the result proves useful with the supervised NN. Christodoulou and Pattichis, [137] applied NN to amedical the issue, and the result demonst”
- Activation Functions: Comparison of trends in Practice and Research for Deep Learning (2018, neutral): “Typical biological inspired neuron [5]”
- State-of-the-art in artificial neural network applications: A survey (2018, methodology): “The comparison was made based on (i) author(s)/year of publication (ii) ANN modeling (iii) ANN area of application (iii) studied contribution to human challenges (with references to Supplementary Table 2) [11, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, ”