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Neural Networks and Animal Behavior

accessible to nonspecialists. The first chapter introduces various approaches to animal behavior and provides an informal introduction to neural;

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Sensory Neural Networks

behavior, their relation to recent activity in neural networks and connectionist systems, their use for image processing applications, and their;

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Revival: Sensory Neural Networks (1991)

behavior, their relation to recent activity in neural networks and connectionist systems, their use for image processing applications, and their;

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Simulating Neural Networks with Mathematica

network behavior and performance. For students of neural networks in upper-level undergraduate or beginning graduate courses in computer science;

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Animal Learning and Cognition

of classical conditioning, Part II describes neural networks of operant conditioning, and animal communication, Part III discusses spatial and;

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Neural Networks

are attracting notice among organizational behavior researchers. In Neural Networks in Organizational Research: Applying Pattern Recognition;

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Information Processing in Cells and Tissues

were organized in topical sections named: biochemical information processing; collective and distributed behavior; patterning and rhythm;

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Kinematic Control of Redundant Robot Arms Using Neural Networks

Presents pioneering and comprehensive work on engaging movement in robotic arms, with a specific focus on neural networks This book;

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New Developments In Artificial Neural Networks Research

in chromatography and spectroscopy; heterogeneous neural networks and tuning differential evolution for artificial neural networks.;

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Neural Network Models of Cognition

of relatively simple processes for the understanding of cognition (complex behavior). Neural networks are held to serve the same function for behavioral;

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Evolutionary Machine Learning Techniques

networks, modular neural networks, physical neural networks, and deep neural networks. The book provides essential definitions, literature reviews;

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Evolutionary Machine Learning Techniques

networks, modular neural networks, physical neural networks, and deep neural networks. The book provides essential definitions;

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Complex-valued Neural Networks

Recent research indicates that complex-valued neural networks whose parameters (weights and threshold values) are all complex numbers are;

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Focus on Artificial Neural Networks

artificial neural networks in environmental sciences and chemical engineering; application of artificial neural networks in the development;

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Applied Neural Networks and Soft Computing

Applied Neural Networks and Soft Computing examines the relation between neural networks and soft computing. Neural network is a system;

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Complex-Valued Neural Networks

This book covers the hot topics and applications surrounding complex-valued neural networks. It demonstrates advanced theories with a wide;

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Artificial Neural Networks

This volume presents examples of how Artificial Neural Networks (ANNs) are applied in biological sciences and related areas. Chapters cover;

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Learning and Categorization in Modular Neural Networks

This book introduces a new neural network model called CALM, for categorization and learning in neural networks. The author demonstrates;

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Information-Theoretic Aspects of Neural Networks

Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory;

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Blind Equalization in Neural Networks

The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms;

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Neural Networks with R

with knowledge in R and wants to work with neural networks to get better results from complex data. If you are interested in artificial;

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Neural Networks for Complete Beginners

learn the relationship between the neurons which make up the human brain and the artificial neurons. Artificial neural networks embrace the;

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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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Intrusion Detection with Artificial Neural Networks

' behavior and finds the anomalies by matching with this normal behavior. A special type of neural network called backpropagation neural network;

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Introduction to Neural Networks for Java, Second Edition

"Introduction to Neural Networks for Java" introduces the Java programmer to the world of Neural Networks and Artificial Intelligence;

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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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