توضیحات
This book presents a collection of contributions in the field of Artificial Neural Networks (ANNs). The themes addressedare multidisciplinary in nature, and closely connected in their ultimate aim to identify features from dynamic realistic signal exchanges and invariant machine representations that can be exploited toimprove the quality of life of their end users. Mathematical tools like ANNs are currently exploited in many scientific domains because of their solid theoretical background and effectiveness in providing solutions to many demanding tasks such as appropriately processing (both for extracting features and recognizing) mono- and bi-dimensional dynamic signals, solving strong nonlinearities in the data and providing general solutions for deep and fully connected architectures. Given the multidisciplinary nature of their use and the interdisciplinary characterization of the problems they are applied to which range from medicine to psychology, industrial and social robotics, computer vision, and signal processing (among many others) ANNs may provide a basis for redefining the concept of information processing. These reflections are supported by theoretical models and applications presented in the chapters of this book. This book is of primary importance for: (a) the academic research community, (b) the ICT market, (c) PhD students and early-stage researchers, (d) schools, hospitals, rehabilitation and assisted-living centers, and (e) representatives of multimedia industries and standardization bodies. Read more…
Abstract: This book presents a collection of contributions in the field of Artificial Neural Networks (ANNs). The themes addressedare multidisciplinary in nature, and closely connected in their ultimate aim to identify features from dynamic realistic signal exchanges and invariant machine representations that can be exploited toimprove the quality of life of their end users. Mathematical tools like ANNs are currently exploited in many scientific domains because of their solid theoretical background and effectiveness in providing solutions to many demanding tasks such as appropriately processing (both for extracting features and recognizing) mono- and bi-dimensional dynamic signals, solving strong nonlinearities in the data and providing general solutions for deep and fully connected architectures. Given the multidisciplinary nature of their use and the interdisciplinary characterization of the problems they are applied to which range from medicine to psychology, industrial and social robotics, computer vision, and signal processing (among many others) ANNs may provide a basis for redefining the concept of information processing. These reflections are supported by theoretical models and applications presented in the chapters of this book. This book is of primary importance for: (a) the academic research community, (b) the ICT market, (c) PhD students and early-stage researchers, (d) schools, hospitals, rehabilitation and assisted-living centers, and (e) representatives of multimedia industries and standardization bodies
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ترجمه ماشینی :
این کتاب مجموعه ای از مشارکت ها در زمینه شبکه های عصبی مصنوعی (ANN) را ارائه می دهد. مضامین پرداخته شده ماهیت چند رشته ای دارند و در هدف نهایی خود برای شناسایی ویژگی هایی از مبادلات سیگنال واقعی پویا و نمایش های ماشینی ثابت که می توانند برای بهبود کیفیت زندگی کاربران نهایی خود مورد سوء استفاده قرار گیرند، به هم مرتبط هستند. ابزارهای ریاضی مانند شبکه های عصبی مصنوعی در حال حاضر در بسیاری از حوزه های علمی مورد بهره برداری قرار می گیرند، زیرا به دلیل پیشینه نظری قوی و کارآمدی آنها در ارائه راه حل برای بسیاری از وظایف سخت مانند پردازش مناسب (هر دو برای استخراج ویژگی ها و تشخیص سیگنال های دینامیکی تک و دو بعدی، حل غیرخطی های قوی در داده ها و ارائه راه حل های کلی برای معماری های عمیق و کاملاً متصل. با توجه به ماهیت چندرشتهای استفاده از آنها و توصیف بینرشتهای مشکلاتی ک
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