Artificial Neural Networks

Main
Artificial Neural Networks

Artificial Neural Networks

Hugh Cartwright (editor)

5.0 / 0

როგორ მოგეწონათ ეს წიგნი?

როგორი ხარისხისაა ეს ფაილი?

ჩატვირთეთ, ხარისხის შესაფასებლად

როგორი ხარისხისაა ჩატვირთული ფაილი?

წელი:

2020

გამოცემა:

3

გამომცემლობა:

Springer

ენა:

english

ISBN 10:

1071608266

ISBN 13:

9781071608265

სერია:

Methods in Molecular Biology 2190

ფაილი:

PDF, 14.55 MB

IPFS:

,

english, 2020

ონლაინ წაკითხვა

ხორციელდება კონვერტაციის -ში

კონვერტაციის -ში ვერ მოხერხდა

შესაძლოა დაგაინტერესოთ

Maynard, Morgan — Neural Networks: Introduction to Artificial Neurons, Backpropagation and Multilayer Feedforward Neural Networks with Real-World Applications (Advanced Data Analytics Book 2)

Hasanraza Ansari — Artificial Neural Network [Learn About Electronics]

Moore, Richard; Moore, Richard — Python Machine Learning: The Ultimate Guide for Beginners to Machine Learning with Python, Programming and Deep Learning, Artificial Intelligence, Neural Networks, and Data Science

Jain — Artificial Neural Networks - A Tutorial

Masters — Practical Neural Network Recipes in C++

Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka — Elements of artificial neural networks

Pereira, Basilio de Braganoca;Rao, C Radhakrishna(Contributor);Oliveira, Fabio Borges De(Contributor) — Statistical Learning Using Neural Networks: A Guide for Statisticians and Data Scientists with Python

Hiesinger P. — The Self-Assembling Brain: How Neural Networks Grow Smarter

Hugh Cartwright — Artificial Neural Networks

Hugh Cartwright (eds.) — Artificial Neural Networks

Doug Alexander — Neural Networks: History and Applications

Steffen Skaar (editor) — A Comprehensive Guide to Neural Network Modeling

Ming Zhang — Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Hiral Ashil Patel — Applications of Artificial Neural Networks

Igor Farkaš, Paolo Masulli, Stefan Wermter — Artificial Neural Networks and Machine Learning – ICANN 2020: 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I

József Dombi, Orsolya Csiszár — Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

Snehashish Chakraverty, Sumit Kumar Jeswal — Applied Artificial Neural Network Methods for Engineers and Scientists: Solving Algebraic Equations

Wilczynski S. — Bioinformatics and Medical Informatics Annual Volume 2024

Stephanie K. Ashenden (editor) — The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry

Loveleen Gaur; Arun Solanki; Samuel Fosso Wamba; Noor Zaman Jhanjhi — Advanced AI Techniques and Applications in Bioinformatics

William Herman, Ann Louise Kinmonth, Nick Wareham, Rhys Williams — The Evidence Base for Diabetes Care.

Francisco Azuaje — Bioinformatics and Biomarker Discovery: "Omic" Data Analysis for Personalized Medicine

Tiratha Raj Singh,Hemraj Saini,Moacyr Comar Junior — Bioinformatics and Computational Biology - Technological Advancements, Applications and Opportunities

Ranjeet Kumar Rout, Saiyed Umer, Sabha Sheikh, Amrit Lal Sangal — Artificial Intelligence Technologies for Computational Biology

Faheem Masoodi, Mohammad Quasim, Syed Nisar Hussain Bukhari, Sarvottam Dixit, Shadab Alam — Applications of Machine Learning and Deep Learning on Biological Data

Hugh Cartwright (editor) — Artificial Neural Networks (Methods in Molecular Biology, 2190)

Alexander Heifetz — Artificial Intelligence in Drug Design

Kumar Selvarajoo — Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology

Hilbush Brian S. — In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future

Brian S. Hilbush — In Silico Dreams

Paola Lecca — Big Data Analysis and Artificial Intelligence for Medical Sciences

Alpan Raval, Animesh Ray — Introduction to Biological Networks

Vinod D. Kumar, Hannah Jane Tipney (eds.) — Biomedical Literature Mining

Louise von Stechow, Alberto Santos Delgado — Computational Cell Biology: Methods and Protocols

Quentin Vanhaelen — Computational Methods for Drug Repurposing

Paraskevi Papadopoulou (editor) — Applying Big Data Analytics in Bioinformatics and Medicine

Davide Bacciu, Paulo J. G. Lisboa, Alfredo Vellido — Deep Learning in Biology and Medicine

Sujata Dash, Biswa Ranjan Acharya, Mamta Mittal, Ajith Abraham, Arpad Kelemen — Deep Learning Techniques for Biomedical and Health Informatics

Fabricio Alves Barbosa da Silva, Nicolas Carels, Marcelo Trindade dos Santos, Francisco José Pereira Lopes — Networks in Systems Biology: Applications for Disease Modeling

George Bebis, Max Alekseyev, Heyrim Cho, Jana Gevertz, Maria Rodriguez Martinez — Mathematical and Computational Oncology: Second International Symposium, ISMCO 2020, San Diego, CA, USA, October 8–10, 2020, Proceedings

Hamid R. Arabnia (editor), Leonidas Deligiannidis (editor), Hayaru Shouno (editor), Fernando G. Tinetti (editor), Quoc-Nam Tran (editor) — Advances in Computer Vision and Computational Biology: Proceedings from IPCV'20, HIMS'20, BIOCOMP'20, and BIOENG'20 (Transactions on Computational Science and Computational Intelligence)

Michail E. Klontzas, Salvatore Claudio Fanni, Emanuele Neri, (eds.) — Introduction to Artificial Intelligence

საკვანძო ფრაზები