Cantitate/Preț
Produs
Total produse
Vezi coșul
Artificial Neural Networks

Artificial Neural Networks: Artificial Intelligence, Volume 13


en Limba Engleză Hardback – 25 ian 2023
This book examines artificial neural networks (ANNs) and their applications in various fields. Chapters address ANNs and deep learning techniques for real-world applications in health care, materials processing, energy management, and more.
Citește tot Restrânge

Preț: 72188 lei

Preț vechi: 90235 lei
-20%

Puncte Express: 1083
Paperback 128545 lei
Hardback (2) de la 72188 lei

Carte disponibilă

Livrare economică 24 octombrie-07 noiembrie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9781837699940
ISBN-10: 1837699941
Pagini: 154
Dimensiuni: 183 x 260 x 15 mm
Greutate: 0.53 kg
Editura: IntechOpen
Colecția Artificial Intelligence, Volume 13
Seria Artificial Intelligence, Volume 13

Cuprins

Identifying Genotype-Phenotype Correlations via Integrative Mutation Analysis.- Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning.- Siamese Neural Networks: An Overview.- Computational Methods for Elucidating Gene Expression Regulation in Bacteria.- Neuro-evolutive Algorithms Applied for Modeling Some Biochemical Separation Processes.- Computational Approaches for de novo Drug Design: Past, Present, and Future.- Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology.- Building and Interpreting Artificial Neural Network Models for Biological Systems.- A Novel Computational Approach for Biomarker Detection for Gene Expression based Computer Aided Diagnostic Systems for Breast Cancer.- Applying Machine Learning for Integration of Multi-modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues.-  Leverage Large-scale Biological Networks to Decipher the Genetic Basis of Human Diseases Using Machine Learning.- Predicting Host Phenotype based on Gut Microbiome using a Convolutional Neural Network Approach.- Predicting Hot-Spots using a Deep Neural Network Approach.- Using Neural Networks for Relation Extraction from Biomedical Literature.- A Hybrid Levenberg-Marquardt Algorithm on a Recursive Neural Network for Scoring Protein Models.- Secure and Scalable Collection of Biomedical Data for Machine Learning Applications.- AI-based Methods and Technologies to Develop Wearable Devices for Prosthetics and Predictions of Degenerative Diseases.  

Textul de pe ultima copertă

The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.
 

Caracteristici

Presents the latest research on artificial neural networks Gives emphasis to neural networks and machine learning topics in bio-neuroinformatics Edited and written by experts in the field