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  • Artificial Neural Networks in Biological and Environmental Analysis

    Series series Analytical Chemistry
    Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence research. Catalyzed by the upsurge in computational power and availability, and made widely accessible with the co-evolution of software, algorithms, and methodologies, artificial neural networks have had a profound ... Read more

    $156.99 CAD

  • Environmental Chemometrics

    Principles and Modern Applications

    Multivariate, heterogeneous data has been traditionally analyzed using the "one at a time" variable approach, often missing the main objective of discovering the relationships among multiple variables and samples. Enter chemometrics, with its powerful tools for design, analysis, and data interpretation of complex environmental systems. Delineating ... Read more

    $133.99 CAD

  • Key Concepts in Environmental Chemistry

    Key Concepts in Environmental Chemistry provides a modern and concise introduction to environmental chemistry principles and the dynamic nature of environmental systems. It offers an intense, one-semester examination of selected concepts encountered in this field of study and provides integrated tools in explaining complex chemical problems of environmental importance. Principles typically covered ... Read more

    $66.99 CAD

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  • Networks of the Brain

    by Olaf Sporns ...
    An integrative overview of network approaches to neuroscience, exploring the origins of brain complexity and the link between brain structure and function“This is where we should be looking for solutions to the great mysteries of life and the mind.” —American ScientistOver the last decade, the study of complex networks has expanded across diverse scientific fields. Increasingly, science is ... Read more

    $74.99 CAD

  • Applied Predictive Modeling

    Series series Mathematics and Statistics (R0)
    This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic ... Read more

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  • Principles Of Artificial Neural Networks (3rd Edition)

    by Daniel Graupe ...
    Series Book 7 - Advanced Series In Circuits And Systems
    Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications ... Read more

    $51.99 CAD

  • Bio-Inspired Artificial Intelligence

    Theories, Methods, and Technologies

    Series series Intelligent Robotics and Autonomous Agents series
    A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures.New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been ... Read more

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  • The Brain, In Theory

    by Romain Brette ...
    Why engineering and computational analogies are poorly suited to the study of biological cognitionMainstream theories of the brain are often expressed through engineering concepts—computation, code, control, reverse-engineering, optimization. These theories cast the living organism as a machine and the brain as a computer. The fact that cognition is a biological phenomenon seems merely anecdotal; ... Read more

    $39.99 CAD

  • Statistical Signal Processing for Neuroscience and Neurotechnology

    Edited by Karim G. Oweiss ...
    This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and ... Read more

    $118.39 CAD

  • Fundamentals of Brain Network Analysis

    Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for ... Read more

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  • Experimental Design for Laboratory Biologists

    Specifically intended for lab-based biomedical researchers, this practical guide shows how to design experiments that are reproducible, with low bias, high precision, and widely applicable results. With specific examples from research using both cell cultures and model organisms, it explores key ideas in experimental design, assesses common designs, and shows how to plan a successful experiment. ... Read more

    $62.99 CAD

  • Complex-Valued Neural Networks

    Advances and Applications

    Edited by Akira Hirose ...
    Series Book 18 - IEEE Press Series on Computational Intelligence
    Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applicationsComplex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly suitable for processing complex amplitude, composed ... Read more

    $159.99 CAD