fundamentals of neural networks
Value of Technical Publications in the Banking, Financial Services and Insurance Industry
A TALE OF TWO CITIES: IN SEARCH FOR ANCIENT POMPEII AND HERCULANEUM
Evaluation of Fluoride Contamination in Groundwater Using Remote Sensing and GIS Techniques in Virudhunagar District, India
Applications of Artificial Neural Networks
On Data Mining in Inverse Scattering Problems: Neural Networks Applied to GPR Data Analysis
What is Artificial Neural Networks
A Back Propagation Neural Networks for Grading Jatropha curcas ...
“Neural Networks with Self-Organizing Maps applied to Process Control”
Evolutionary synthesis of analog networks
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Using simple, down-to-earth language, without any math, Microwaves and Wireless Simplified explains the meaning of microwave and wireless engineering expressions such as VSWR, Characteristic ...
This reference work on solid dielectric horn antennas outlines the underlying principles, design criteria and procedures, and radiation mechanisms associated with the various types of dielectric ...
This text sets out to provide a source of design techniques for leading to reduction in expense, size and weight of directional couplers and filters. It also gives step-by-step procedures for ...
Provides an introduction to fundamental mixer types, as well as variations on the classical mixer designs.
This book constitutes the refereed proceedings of the 11th International Conference on Engineering Applications of Neural Networks, EANN 2009, held in London, GB, on August 27-29, 2009.The 47 revised ...
Applications of Neural Networks in Transportation Planning
"Applications of Neural Networks in High Assurance Systems" is the first book directly addressing a key part of neural network technology: methods used to pass the tough verification and validation ...
This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform ...
HVDC and FACTS Controllers: Applications of Static Converters in Power Systems focuses on the technical advances and developments that have taken place in the past ten years or so in the fields of ...
One of the most exciting applications of neural networks in recent times has been to improve investment performance in the financial markets. Neural networks can be harnessed for this task as they ...