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God Didn’T Have to Make the Crickets Sing
Have you ever wondered about those cricketsyou know, the little black insects that rub something together to make chirping sounds when it seems extra hot and sticky? I never did. Oh, sure, I heard their chirps in the evenings when I was trying to go to sleep, and I knew that it was part of the natural world. But there was no meaning beyond thatnot until a wondrous moment when God used their melody to catch my attention. Even though I became a Christian at fourteen and loved the Lord Jesus Christ, I was heavily and passionately pursuing the American Dream with my husbanduntil it began self-destructing job by job. What do you do when dream after dream in your life is destroyedwhen there seems to be no stability or sanity? You fall apart, or at least I did. Time after time, my light turned to darkness and my hope was shattered. That was the point at which God wrote His beautiful melody and opened my heart so that I could hear it. In a beautiful, but extremely painful way, God used this destruction to introduce me to a deeper, intimate relationship with Him when I heard the songHis song. Hopefully, you will hear it too.
Pattern Recognition by Self-organizing Neural Networks
Pattern Recognition by Self-Organizing Neural Networks presentsthe most recent advances in an area of research that is becoming vitally important in the fields ofcognitive science, neuroscience, artificial intelligence, and neural networks in general. The 19articles take up developments in competitive learning and computational maps, adaptive resonancetheory, and specialized architectures and biological connections. Introductorysurvey articles provide a framework for understanding the many models involved in various approachesto studying neural networks. These are followed in Part 2 by articles that form the foundation formodels of competitive learning and computational mapping, and recent a...
Neural Networks
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Optimality in Biological and Artificial Networks?
This book is the third in a series based on conferences sponsored by the Metroplex Institute for Neural Dynamics, an interdisciplinary organization of neural network professionals in academia and industry. The topics selected are of broad interest to both those interested in designing machines to perform intelligent functions and those interested in studying how these functions are actually performed by living organisms and generate discussion of basic and controversial issues in the study of mind. The topic of optimality was chosen because it has provoked considerable discussion and controversy in many different academic fields. There are several aspects to the issue of optimality. First, i...
Neural Networks for Pattern Recognition
In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Neural Networks for Pattern Recognition takes the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues to a new level. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural networks for pattern classification, Nigrin expands on these networks to present fundamentally new architectures that perform realtime pattern classification of embedded and synonymous patterns and that will aid in t...
Knowledge-Based Intelligent Information and Engineering Systems 1.
The two volumes LNAI 2773 and LNAI 2774 constitute the refereed proceedings of the 7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2003, held in Oxford, UK in September 2003. The 390 revised papers and poster papers presented were carefully reviewed and selected from numerous submissions. Among the areas covered are knowledge-based systems, neural computing, fuzzy logic, uncertainty, machine learning, soft computing, agent systems, intelligent agents, data mining, knowledge discovery, hybrid intelligent systems, natural language processing, information retrieval, Web applications, case-based reasoning, evolutionary computing, signal processing, ontologies, decision making, human-computer interaction, intelligent user interfaces, neuroscience, intelligent agents, biocomputing, etc.
Neurocomputing
In bringing together seminal articles on the foundations of research, the first volume of Neurocomputing has become an established guide to the background of concepts employed in this burgeoning field. Neurocomputing 2 collects forty-one articles covering network architecture, neurobiological computation, statistics and pattern classification, and problems and applications that suggest important directions for the evolution of neurocomputing.James A. Anderson is Professor in the Department of Cognitive and Linguistic Sciences at Brown University. Andras Pellionisz is a Research Associate Professor in the Department of Physiology and Biophysics at New York Medical Center and a Senior National Research Council Associate to NASA. Edward Rosenfeld is editor and publisher of the newsletters Intelligence and Medical Intelligence.
Taking Flight
In October 1944 Nadine Ramsey was thirty-three and she was flying the cutting-edge P-51 Mustang to New Jersey, its last stop before heading to the war in Europe. The irrepressible young woman from Wichita had long been determined to fly and the gathering storm clouds of World War II had provided an unexpected opportunity. Taking Flight is the inspiring story of a girl from Depression-era Kansas who overcame tremendous challenges and defied convention to become an elite pilot—one of the few American women to fly fighter aircraft during World War II. Taking Flight follows Nadine as she became one of 1,102 women to join the Women’s Airforce Service Pilots and one of only 303 WASPs to take t...
