Neural Networks: A Comprehensive Foundation 2nd Edition by Simon Haykin


Neural Networks or artificial neural networks to be more precise, represent a technology that is rooted in many disciplines such as neuosciences, mathematics, statistics, physics, computer science and engineering. This book provides a comprehensive foundation of neural network recognizing the multi disciplinary nature of the subject. The material presented in this book is supported with examples computer oriented experiments and so on.

Author:  Simon Haykin

Publisher: Prentice Hall 

Chapters: 
This book contains 15 chapters. The chapter headings are given below:
  1. Introduction
  2. Learning Processes
  3. Single Layer Perceptrons
  4. Multi Layer Perceptrons
  5. Radial-Basis Function Networks
  6. Support Vector Machines
  7. Committee Machines
  8. Principal Components Analysis
  9. Self-Organizing Maps
  10. Information-Theoretic Models
  11. Stochastic Machines and Their Approximates Rooted In Statistical Mechanics
  12. Neurodynamic Programming
  13. Temporal Processing Using Feedforward Networks
  14. Neurodynamics
  15. Dynamically Driven Recurrent Networks 
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Control System Engineering, 6th Edition by Norman S. Nise



This book introduces students to the theory and practice of control system engineering. The text emphasizes the practical application of the subject to the analysis and design of feedback systems.
The study of control system engineering is essential for students pursuing degrees in electrical, mechanical, aerospace or chemical engineering. Control systems are found in a board range of applications within these disciplines from aircraft and spacecraft to robots and process control systems.

Author: Norman S. Nise

Publisher: John Wiley & Sons.

Chapters:
This book contains 14 chapters. The chapter headings are given below:
  1. Introduction
  2. Modeling the Frequency Domain
  3. Modeling the Time Domain
  4. Time Response
  5. Reduction of Multiple Subsystems
  6. Stability
  7. Steady State Errors
  8. Root Lucas Techniques
  9. Design via Root Lucas
  10. Frequency Response Techniques
  11. Design via Frequency Response
  12. Design via State Space
  13. Digital Control Systems

Protocols and Architectures for Wireless Sensor Networks by Holger Karl


Integrating simple processing, storage, sensing, and communication capabilities into small-scale, low-cost devices and joining them into so-called wireless sensor networks opens the door to a plethora of new applications – or so it is commonly believed. It is a struggle to find a business model that can turn the bright visions into a prosperous and  actually useful undertaking. But this struggle can be won by applying  creative ideas to the underlying technology, assuming that this technology and its abilities as well as shortcomings and limitations are properly  understood. We have written this book in the hope of fostering this  understanding.

Authors: Holger Karl & Andreas Willig

Publisher: John Wiley & Sons

Chapters: 
This book contains 14 chapters. The chapter headings are given below:
  1. Introduction
  2. Single-Node Architecture
  3. Network Architecture
  4. Physical Layer
  5. MAC Protocols
  6. Links-Layer Protocols
  7. Naming and Addressing
  8. Time Synchronization
  9. Localizing and Positioning
  10. Topology Control
  11. Routing Protocols
  12. Data-Centric and Content-based Networking
  13. Transport Layer and Quality of Service
  14. Advanced Application Support
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