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Kinematic Control of Redundant Robot Arms Using Neural Networks

neural network based learning and control co-design for Stewart platform control. The book finishes with a section on zeroing neural networks for;

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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault;

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Handbook on Neural Information Processing

Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning Kernel methods for structured data Multiple;

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Focus on Artificial Neural Networks

of pharamceutical microemulsions; massive-training artificial neural networks for supervised enhancement/suppression of lesions/patterns in medical images;

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Neural Network Methods in Natural Language Processing

Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data;

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Neural Network Methods in Natural Language Processing

Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data;

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Neural Networks with Keras Cookbook

about how neural networks work and the impact of various hyper parameters on a network's accuracy along with leveraging neural networks for;

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Neural Networks And Artificial Intelligence For Biomedical Engineering

biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision;

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New Developments in Computer Networks

of prediction performance based on real network traffic; network security; a modified artificial neural network based approach to add new data in a;

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Multispectral Image Sensors Using Metasurfaces

This book presents how metasurfaces are exploited to develop new low-cost single sensor based multispectral cameras. Multispectral cameras;

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New Developments In Artificial Neural Networks Research

neural network based visual servo system; modelling of computer-assisted learning using artificial neural networks; prediction of hole quality;

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Artificial Neural Networks

, medical image fusion based on pulse coupled neural networks, artificial neural networks for intrusion detection, recognition of Arabic sign;

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Artificial Neural Networks

Like other machine learning methods - systems that learn from data - neural networks have been used to solve a wide variety of tasks that;

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Principal Component Analysis Networks and Algorithms

This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA;

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Applications of Neural Networks in High Assurance Systems

in this book, different from the simple six sigma methods usually used for large-scale systems and different from the theorem-based approach used;

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Handbook Of Chemometrics And Qualimetrics

as neural networks, genetic algorithms and latent variable based methods.;

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Introduction to Deep Learning and Neural Networks with PythonT

Introduction to Deep Learning and Neural Networks with PythonT: A Practical Guide is an intensive step-by-step guide for neuroscientists to;

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Neural Networks for Complete Beginners

architecture of an artificial neural network. The various types of artificial neural networks based on their architecture are also discussed. The book;

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Algorithms and Architectures

multilevel neural systems with reduced VLSI demandsProbabilistic design techniquesTime-based techniquesTechniques for;

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Deep Learning from Scratch Building with Python from First Principles

With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many;

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Learning in Energy-Efficient Neuromorphic Computing - Algorithm and Architecture Co-Design

with a look at the hardware for spiking neural networks. Then comes a chapter offering readers three design examples (two of which are based on;

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Statistical Learning Using Neural Networks

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;

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Statistical Learning Using Neural Networks

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;

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New Classification Method Based on Modular Neural Networks with the LVQ Algorith

In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector;

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Artificial Neural Networks

of ANNs for solar radiation estimation; the use of in silico methods to design and evaluate skin UV filters; a practical model based on the;

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Detecting Information Hidden in JPEG Images

approach is based on using neural networks instead. Several experiments were conducted while researching for this book to see if the number;

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