Lost in the Programming Energies

Lost in the Programming Energies
Author: Ruth Oma Isaacs
Publisher: Dorrance Publishing
Total Pages: 120
Release: 2020-03-03
Genre: Biography & Autobiography
ISBN: 1646104897

LOST in the Programming Energies By: Ruth Oma Isaacs LOST in the Programming Energies is Ruth Oma Isaacs’ story of the harsh realities of being raped and continuously molested. Ruth expresses to her readers an emphasis on self, deadly habits, suicide, and recognizing the energies that affect the self. This is just another perspective showing how she came to have this perspective. She would like readers, especially those of Afrikan descent, to know that they do not have to suffer as they are programmed to do. We should all get in touch with ourselves and make choices that benefit us.

Human Memory Modeled with Standard Analog and Digital Circuits

Human Memory Modeled with Standard Analog and Digital Circuits
Author: John Robert Burger
Publisher: John Wiley & Sons
Total Pages: 318
Release: 2009-07-31
Genre: Computers
ISBN: 9780470464199

Gain a new perspective on how the brain works and inspires new avenues for design in computer science and engineering This unique book is the first of its kind to introduce human memory and basic cognition in terms of physical circuits, beginning with the possibilities of ferroelectric behavior of neural membranes, moving to the logical properties of neural pulses recognized as solitons, and finally exploring the architecture of cognition itself. It encourages invention via the methodical study of brain theory, including electrically reversible neurons, neural networks, associative memory systems within the brain, neural state machines within associative memory, and reversible computers in general. These models use standard analog and digital circuits that, in contrast to models that include non-physical components, may be applied directly toward the goal of constructing a machine with artificial intelligence based on patterns of the brain. Writing from the circuits and systems perspective, the author reaches across specialized disciplines including neuroscience, psychology, and physics to achieve uncommon coverage of: Neural membranes Neural pulses and neural memory Circuits and systems for memorizing and recalling Dendritic processing and human learning Artificial learning in artificial neural networks The asset of reversibility in man and machine Electrically reversible nanoprocessors Reversible arithmetic Hamiltonian circuit finders Quantum versus classical Each chapter introduces and develops new material and ends with exercises for readers to put their skills into practice. Appendices are provided for non-experts who want a quick overview of brain anatomy, brain psychology, and brain scanning. The nature of this book, with its summaries of major bodies of knowledge, makes it a most valuable reference for professionals, researchers, and students with career goals in artificial intelligence, intelligent systems, neural networks, computer architecture, and neuroscience. A solutions manual is available for instructors; to obtain a copy please email the editorial department at [email protected].

ERDA Energy Research Abstracts

ERDA Energy Research Abstracts
Author: United States. Energy Research and Development Administration. Technical Information Center
Publisher:
Total Pages: 962
Release: 1976
Genre: Force and energy
ISBN:

Intelligent Learning Approaches for Renewable and Sustainable Energy

Intelligent Learning Approaches for Renewable and Sustainable Energy
Author: Josep M. Guerrero
Publisher: Elsevier
Total Pages: 315
Release: 2024-02-21
Genre: Computers
ISBN: 044315807X

Intelligent Learning Approaches for Renewable and Sustainable Energy provides a practical, systematic overview of the application of advanced intelligent control techniques, adaptive techniques, machine learning algorithms, and predictive control in renewable and sustainable energy.The book begins by introducing the intelligent learning approaches, and the roles of artificial intelligence and machine learning in terms of energy and sustainability, grid transformation, large-scale integration of renewable energy, and variability and flexibility of renewable sources. The second section of the book provides detailed coverage of intelligent learning techniques as applied to key areas of renewable and sustainable energy, including forecasting, supply and demand, integration, energy management, and optimization, supported by case studies, figures, schematics, and references.This is a useful resource for researchers, scientists, advanced students, energy engineers, R&D professionals, and other industrial personnel with an interest in sustainable energy and integration of renewable energy sources, energy systems, energy engineering, machine learning, and artificial intelligence. - Explores cutting-edge intelligent techniques and their implications for future energy systems development - Opens the door to a range of applications across forecasting, supply and demand, energy management, optimization, and more - Includes a range of case studies that provide insights into the challenges and solutions in real-world applications