1# Library to Find Best eBook for Read
Author : Murray Smith
Release : 1993
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Neural Networks for Statistical Modeling by : Murray Smith
Download or read book Neural Networks for Statistical Modeling written by Murray Smith. This book was released on 1993. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ke-Lin Du
Release : 2013-12-09
Genre : Technology & Engineering
Kind : eBook
Book Rating : 718/5 ( reviews)
Book Synopsis Neural Networks and Statistical Learning by : Ke-Lin Du
Download or read book Neural Networks and Statistical Learning written by Ke-Lin Du. This book was released on 2013-12-09. Available in PDF, EPUB and Kindle. Book excerpt: Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardware implementations, and some machine learning topics. Applications to biometric/bioinformatics and data mining are also included. Focusing on the prominent accomplishments and their practical aspects, academic and technical staff, graduate students and researchers will find that this provides a solid foundation and encompassing reference for the fields of neural networks, pattern recognition, signal processing, machine learning, computational intelligence, and data mining.
Author : Murray Smith
Release : 1996-01-01
Genre : Mathematical statistics
Kind : eBook
Book Rating : 421/5 ( reviews)
Book Synopsis Neural Networks for Statistical Modeling by : Murray Smith
Download or read book Neural Networks for Statistical Modeling written by Murray Smith. This book was released on 1996-01-01. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Basilio de Braganca Pereira
Release : 2020-08-25
Genre : Business & Economics
Kind : eBook
Book Rating : 547/5 ( reviews)
Book Synopsis Statistical Learning Using Neural Networks by : Basilio de Braganca Pereira
Download or read book Statistical Learning Using Neural Networks written by Basilio de Braganca Pereira. This book was released on 2020-08-25. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks starting from the basics and increasingly demanding more effort from readers, who can learn the theory and its applications in statistical methods with concrete Python code examples. It presents a wide range of widely used statistical methodologies, applied in several research areas with Python code examples, which are available online. It is suitable for scientists and developers as well as graduate students. Key Features: Discusses applications in several research areas Covers a wide range of widely used statistical methodologies Includes Python code examples Gives numerous neural network models This book covers fundamental concepts on Neural Networks including Multivariate Statistics Neural Networks, Regression Neural Network Models, Survival Analysis Networks, Time Series Forecasting Networks, Control Chart Networks, and Statistical Inference Results. This book is suitable for both teaching and research. It introduces neural networks and is a guide for outsiders of academia working in data mining and artificial intelligence (AI). This book brings together data analysis from statistics to computer science using neural networks.
Author : Haiping Huang
Release : 2022-01-04
Genre : Science
Kind : eBook
Book Rating : 708/5 ( reviews)
Book Synopsis Statistical Mechanics of Neural Networks by : Haiping Huang
Download or read book Statistical Mechanics of Neural Networks written by Haiping Huang. This book was released on 2022-01-04. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks. The book discusses in details important concepts and techniques including the cavity method, the mean-field theory, replica techniques, the Nishimori condition, variational methods, the dynamical mean-field theory, unsupervised learning, associative memory models, perceptron models, the chaos theory of recurrent neural networks, and eigen-spectrums of neural networks, walking new learners through the theories and must-have skillsets to understand and use neural networks. The book focuses on quantitative frameworks of neural network models where the underlying mechanisms can be precisely isolated by physics of mathematical beauty and theoretical predictions. It is a good reference for students, researchers, and practitioners in the area of neural networks.
