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Multilayer Perceptrons

Multilayer Perceptrons: Theory and Applications opens with a review of research on the use of the multilayer perceptron artificial neural;

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Adaptive Filter Theory

various linear adaptive filters and the elements of supervised multilayer perceptrons. In its fifth edition, this highly successful book has been;

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Deep Neural Networks in a Mathematical Framework

gradient descent algorithms in a unified way for several neural network structures, including multilayer perceptrons, convolutional neural networks;

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Neural Smithing

interesting behaviors. This book focuses on the subset of feedforward artificial neural networks called multilayer perceptrons (MLP). These are the;

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Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

methods to multiple kernel learning for feature extraction from data, and the incremental training of multilayer perceptrons to construct deep;

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Reactive Multilayer Foils

Reactive multilayer foils have attracted intense research attention in recent years, expecially for their applications as local heat;

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Multilayer Networks

Multilayer networks is a rising topic in Network Science which characterizes the structure and the function of complex systems formed by;

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Multilayer Networks

Multilayer networks is a rising topic in Network Science which characterizes the structure and the function of complex systems formed by;

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Multilayer Social Networks

Multilayer networks, in particular multilayer social networks, where users belong to and interact on different networks at the same time;

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Multilayer Social Networks

Multilayer networks, in particular multilayer social networks, where users belong to and interact on different networks at the same time;

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Connectionist Approaches in Economics and Management Sciences

Networks, Multilayer Perceptrons, Genetic algorithms, Cellular Automates, Self-Organizing maps, Fuzzy Logic, etc. They can be summarized by the;

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Deep Learning with Applications Using Python

programs capable of performing deep learning. This book covers convolutional neural networks, recurrent neural networks, and multilayer;

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Superconducting Multilayer Technology for Josephson Devices

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Multilayer particle deposition models

In this book several multilayer particle deposition models are studied using simulations and analytical calculations. Multilayer particle;

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Building Cisco Multilayer Switched Networks (Bcmsn) (Authorized Self-Study Guide)

& Building Cisco Multilayer Switched Networks (BCMSN) Fourth Edition Foundation learning for CCNP 642-812 BCMSN Richard Froom, CCIE(R) No;

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Generalized Transmission Line Method to Study the Far-zone Radiation of Antennas Under a Multilayer Structure

multilayer structure. Normally, a radiation problem requires a full wave analysis which may be time consuming. The beauty of the generalized;

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Multilayer Flexible Packaging

Multilayer Flexible Packaging, Second Edition, provides a thorough introduction to the manufacturing and applications of flexible;

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Advances in Dielectric Materials and Electronic Devices

-microstructure-property relationship, multilayer device materials, thin and thick films, device applications, low temperature co-fired ceramics (LTCC)for;

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Iterative Algorithms For Multilayer Optimizing Control

The book presents basic structures, concepts and algorithms in the area of multilayer optimizing control of industrial systems, as well as;

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Ceramic Materials and Multilayer Electronic Devices

This volume contains a collection of 40 papers from two symposia: Advanced Dielectric Materials and Multilayer Electronic Devices and High;

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Manufacturing and Novel Applications of Multilayer Polymer Films

Manufacturing and Novel Applications of Multilayer Polymer Films discusses the advancements in multilayer technology, including its;

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Introduction to Machine Learning

, linear discrimination, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, combining;

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Introduction to Machine Learning

policy gradient methods, and deep reinforcement learning; new material in the chapter on multilayer perceptrons on autoencoders and the word2vec;

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Introduction to Machine Learning

, linear discrimination, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, combining;

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TensorFlow 1.x Deep Learning Cookbook

, GANs, autoencoders, multilayer perceptrons and more. * Hands-on recipes to work with Tensorflow on desktop, mobile, and cloud environment;

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Thin Film and Flexible Thermoelectric Generators, Devices and Sensors

. Topics include: novel thin film; multilayer, composite and nanostructured thermoelectric materials; simulation of phenomena related to;

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Organized Organic Ultrathin Films

multilayer films on a solid plate from a water surface), layer-by-layer films (adsorbed multilayer films on a solid support), and spontaneously;

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