Integrative evolving connectionist systems (iECOS) integrate principles
from different levels of information processing in the brain, including cognitive-,
neuronal-, genetic- and quantum, in their dynamic interaction over time. The paper
introduces a new framework of iECOS called integrative probabilistic evolving
spiking neural networks (ipSNN) that incorporate probability learning parameters.
ipSNN utilize a quantum inspired evolutionary optimization algorithm to optimize
the probability parameters as these algorithms belong to the class of estimation of
distribution algorithms (EDA).
Research and development in modern optical and photonic technologies have
witnessed quite fast growing advancements in various fundamental and application areas
due to availability of novel fabrication and measurement techniques, advanced numerical
simulation tools and methods, as well as due to the increasing practical demands. The recent
advancements have also been accompanied by the appearance of various interdisciplinary
Automation is the use of control systems (such as numerical control, programmable
logic control, and other industrial control systems), in concert with other applications of
information technology (such as computer-aided technologies [CAD, CAM, CAx]), to control
industrial machinery and processes, reducing the need for human intervention. In the scope
of industrialization, automation is a step beyond mechanization.
This book contains information about the technological development of ion exchange in their application for industrial processes. Widely used and well known fields of ion exchange like chromatography and electromembrane technology are described in this book with experimental details. Designing new materials for nanotechnology and nanomaterials as ion exchanger are also explained by experimental proofs. Ion exchange book is suitable not only for postgraduate students but also for researchers in chemistry, biochemistry and chemical technology....
PROCESS, QUANTUM, AND ANALYTICAL SENSORS
INTRODUCTION Automatic test systems, manufacturing process control, analytical instrumentation, and aerospace electronic systems all would have diminished capabilities without the availability of contemporary computer integrated data systems with multisensor information structures. This text develops supporting quantitative error models that enable a unified performance evaluation for the design and analysis of linear and digital instrumentation systems with the goal of compatibility of integration with other enterprise quality representations....