Results by title

3 books match the query 'Neural networks (Computer science)'

cover of Foundations of Real World Intelligence

Foundations of Real World Intelligence

Edited by Yoshinori Uesaka, Pentti Kanerva, and Hideki Asoh

CSLI, 2001

Real-world intelligence includes the ability to handle complex, uncertain, dynamic, multi-modal information in real time. In order to pursue the artificial realization of such "human" or "intelligent" information processing, a novel system of representing and interpreting knowledge must first be developed. This book collects the results of ten years of research at six laboratories, focusing on the theoretical and algorithmic foundations of the intelligence we find in the real world.
[more]
cover of Neural Network Applications in Control

Neural Network Applications in Control

G.W. Irwin

The Institution of Engineering and Technology, 1995

Neural networks are an exciting technology of growing importance in real industrial situations, particularly in control and systems. This book aims to give a detailed appreciation of the use of neural nets in these applications; it is aimed particularly at those with a control or systems background who wish to gain an insight into the technology in the context of real applications.
[more]
cover of Neural Networks

Neural Networks

Ranjodh Singh Dhaliwal

University of Minnesota Press, 2024

A critical examination of the figure of the neural network as it mediates neuroscientific and computational discourses and technical practices

Neural Networks proposes to reconstruct situated practices, social histories, mediating techniques, and ontological assumptions that inform the computational project of the same name. If so-called machine learning comprises a statistical approach to pattern extraction, then neural networks can be defined as a biologically inspired model that relies on probabilistically weighted neuron-like units to identify such patterns. Far from signaling the ultimate convergence of human and machine intelligence, however, neural networks highlight the technologization of neurophysiology that characterizes virtually all strands of neuroscientific and AI research of the past century. Taking this traffic as its starting point, this volume explores how cognition came to be constructed as essentially computational in nature, to the point of underwriting a technologized view of human biology, psychology, and sociability, and how countermovements provide resources for thinking otherwise.

[more]