Artificial neural networks, or simply called neural networks, refer to the various mathematical models of human brain functions such as perception, computation and memory. It is a fascinating scientific challenge of our time to understand how the human brain works. Modeling neural networks facilitates us in investigating the...

Soft Computing (SC) techniques have been recognized nowadays as attractive solutions for modeling highly nonlinear or partially defined complex systems and processes. These techniques resemble biological processes more closely than conventional (more formal) techniques. However, despite its increasing popularity, soft computing lacks...

We describe in this book, hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce...

Examine several methods of testing for genetically modified organisms and the reasons behind their strict regulation!

Testing of Genetically Modified Organisms in Foods is the first study of the screening methods and tools utilized for determining the presence of genetically modified organisms (GMOs) in food products. Leading...

Focusing on organic, organometallic, and bio-oriented processes, this book explores the impact and use of the latest synthetic tools for the synthesis of complex biologically active compounds. Readers will discover step by step how...

Harnessing fungi’s enzymatic ability to break down lignocellulolytic biomass to produce ethanol more efficiently and cost-effectively has become a significant research and industrial interest. Fungi and Lignocellulosic Biomass provides readers with a broad range of information on the uses and untapped potential of fungi in the...