Cover Image

QR Code

Artificial neural networks

Main Author:	Yegnanarayana, B
Language:	English
Published:	New Delhi: Prentice-Hall of India Pvt. Ltd., 1999.
Subjects:	Neural networks (Computer science)

Similar Items

Fundamentals of artificial neural networks
by: Hassoun, Mohamad H
Published: (2007)

Neural networks : a classroom approach
by: Kumar, Satish
Published: (2004)

Neural networks : a comprehensive foundation
by: Haykin, Simon
Published: (1999)

Artificial Neural Network (ANN) based technique for point of collapse prediction
by: Zailani Ab Ghani
Published: (2005)

The deep learning with Keras workshop : an interactive approach to understanding deep learning with Keras
by: Moocarme, Matthew

Neural networks : algorithms, applications, and programming techniques
by: Freeman, James A
Published: (1991)

Neural network modeling and identification of dynamical systems
by: Tiumentsev, Yury

Artificial neural networks
by: Schalkoff, Robert J
Published: (1997)

Static and dynamic neural networks : from fundamentals to advanced theory
by: Gupta, Madan M
Published: (2003)

Zeroing neural networks : finite-time convergence design, analysis and applications
by: Xiao, Lin

Recurrent neural networks : from simple to gated architectures
by: Salem, Fathi M.

Advances in neural network research and applications

A first course in fuzzy logic
by: Nguyen, Hung T
Published: (2000)

Optimal reactive power dispatch using artificial immune system (AIS)
by: Mohd Zaki Mohd Idrus
Published: (2005)

Sensitivity analysis for neural networks
by: Yeung, Daniel S
Published: (2010)

An introduction to the modeling of neural networks
by: Peretto, Pierre
Published: (1992)

Meta-learning : theory, algorithms and applications

The making of a neuromorphic visual system
by: Rasche, Christoph
Published: (2005)

Foundations of deep reinforcement learning : theory and practice in Python
by: Graesser, Laura Harding

Artificial intelligence for cognitive modeling : theory and practice
by: Dutta, Pijush

Convolutional neural networks with Swift for TensorFlow : image recognition and dataset categorization
by: Koonce, Brett

Machine learning with neural networks : an introduction for scientists and engineers
by: Mehlig, Bernhard

Neural networks and deep learning : a textbook
by: Aggarwal, Charu C
Published: (2018)

Neural and adaptive systems : fundamentals through simulations
by: Principe, Jose. C
Published: (2000)

Neural networks modeling and control : applications for unknown nonlinear delayed systems in discrete time

Handbook of research on deep learning innovations and trends

Introduction to deep learning : from logical calculus to artificial intelligence
by: Skansi, Sandro
Published: (2018)

A few things I know about her : a personally machine learning inspired approach to understand surrounding nature
by: Apolloni, Bruno

Computational intelligence : an introduction
by: Engelbrecht, Andries P
Published: (2002)

Deep neuro-fuzzy systems with Python : with case studies and applications from the industry
by: Singh, Himanshu

Hands-on Python deep learning for the Web : integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
by: Singh, Anubhav

PyTorch artificial intelligence fundamentals : a recipe-based approach to design, build and deploy your own AI models with PyTorch 1.x
by: Mathew, Jibin

Real-time IoT imaging with deep neural networks : using Java on the Raspberry Pi 4
by: Modrzyk, Nicolas

Neuro-fuzzy and soft computing : a computational approach to learning and machine intelligence
by: Jang, Jyh-Shing Roger
Published: (1997)

PyTorch recipes : a problem-solution approach to build, train and deploy neural network models
by: Mishra, Pradeepta

Neural networks, machine learning, and image processing : mathematical modelling and applications

Business applications of neural networks : the state-of-the-art of real-world applications
Published: (2000)

Analysis and visualization of discrete data using neural networks
by: Koyamada, Koji

Diffuse algorithms for neural and neuro-fuzzy networks : with applications in control engineering and signal processing
by: Skorohod, Boris A

Brain and nature-inspired learning computation and recognition