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Handbook of Neural Network Signal Processing

The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems;

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Stevens' Handbook of Experimental Psychology

; network models for clinical psychology; response time modeling; analyzing neural time series data; models and methods for reinforcement learning;

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Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults

systems. Application of Signal Processing Tools and Neural Network in Diagnosis of Power System Faults examines power system faults and;

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Signal Processing for Mobile Communications Handbook

adaptive equalization, multi-user detection, DSP for OFDM, synchronization, and more. Emerging techniques such as neural networks, Markov Chain;

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Intelligent Signal Processing

, including Neural Networks and Fuzzy Systems, Neural Networks for Signal Processing (Publisher, copyright date) and Fuzzy Thinking (Publisher;

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Artificial Neural Networks - ICANN 2009

This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which;

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Handbook of Neural Engineering

-reviewed contributions on the brain-computer interface, nano-neural engineering, neural prostheses, imaging the brain, neural signal processing;

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Neural Information Processing

processing research. The 3 volumes represent topical sections containing articles on cognitive science, neural networks and learning systems, theory;

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Neural Information Processing

processing research. The 3 volumes represent topical sections containing articles on cognitive science, neural networks and learning systems, theory;

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Advances in Neural Networks - ISNN 2016

cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks;

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Advances in Neural Networks ISNN 2015

The volume LNCS 9377 constitutes the refereed proceedings of the 12th International Symposium on Neural Networks, ISNN 2015, held in Jeju;

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Applied Neural Networks for Signal Processing

The use of neural networks in signal processing is becoming increasingly widespread, with applications in many areas. Applied Neural;

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Signal Processing in Auditory Neuroscience

of different sounds manifest in neural signals and how to tease-apart their different influences. It includes EEG/MEG as additional variables to be;

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Statistical Signal Processing for Neuroscience and Neurotechnology

This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving;

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Artificial Neural Networks with Java

Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second;

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Machine Intelligence and Signal Processing

(ELM), artificial neural network (ANN), and other areas in machine learning. Further, it discusses the real-time challenges involved;

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Neural Information Processing

; learning from incomplete data; model compression and optimisation; neural learning models; neural network applications; and social network;

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Signal Processing in Neuroscience

computer scientists. This new signal-processing tool can be used in conjunction with existing computational tools to analyse neural activity, which;

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Signal Processing and Image Processing for Acoustical Imaging

, wavelets, and neural networks. It also addresses the important topic of digital signal processing, focusing on the example of homomorphic signal;

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Artificial Neural Networks with Java

Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you;

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Artificial Neural Networks with Java

Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you;

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Time Frequency And Wavelets In Biomedical Signal Processing

, mammograms, X rays, evoked potential signals analysis, neural networks applications, among other topics. Time Frequency and Wavelets;

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Multilayer Perceptrons

of the multilayer perceptron neural network is provided. Furthermore, the foundation for automated post-processing that is imperative for;

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Handbook of Formulas and Tables for Signal Processing

Signal processing is a broad and timeless area. The term signal includes audio, video, speech, image, communication, geophysical, sonar;

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Nonlinear Biomedical Signal Processing, Volume 1

newest theories and applications of fuzzy logic, neural networks, and algorithms in biomedicine. Nonlinear Biomedical Signal Processing, Volume I;

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Soft Computing and Signal Processing

, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations;

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Soft Computing and Signal Processing

, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations;

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