Daniel Graupe

Principles of Artificial Neural Networks

This book should serves as a self-study course for engineers and computer scientist in the industry. The features include major neural network approac...

Principles of Artificial Neural Networks

This textbook is intended for a first-year graduate course on Artificial Neural Networks. It assumes no prior background in the subject and is directe...

Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition)

The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machin...

Deep Learning Neural Networks: Design And Case Studies

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, dec...

Time Series Analysis

Identification and Adaptive Filtering

Stochastic convergence theory is reviewed in this text including 33 fundamental martingale and convergence theorems. The book unifies identification t...

Functional Electrical Stimulation for Ambulation by Paraplegics

Twelve Years of Clinical Observations and System Studies

For physicians and therapists working with paraplegic patients, this work outlines a FES rehabilitation programme for limited unbraced walking with a ...

Principles of Artificial Neural Networks

Basic Designs to Deep Learning

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