دانلود کتاب شبکه‌های عصبی کاربردی در عصر هوش مصنوعی، از تئوری تا تأثیر در دنیای واقعی

In recent years, artificial neural networks have emerged as one of the most transformative paradigms in artificial intelligence (AI), impacting virtually every scientific, industrial, and societal domain. From personalized healthcare to autonomous systems, neural networks have proven remarkably effective at solving complex, non- linear problems that are traditionally beyond the reach of classical algorithmic approaches. As we navigate the era of AI, the growing maturity and interdisciplinary adoption of neural networks highlight the need to explore not only their theoretical foundations but also their real- world impact. This book, Applied Neural Networks in the AI Era: From Theory to Real- World Impact, aims to provide a comprehensive overview of how neural networks are being applied across various sectors and disciplines. The goal is to move beyond the basics and present readers with deep insights into how these models are being deployed to address challenges in medicine, transportation, robotics, industry, and even emerging interdisciplinary fields such as animal communication and financial management. In the current global context, where data- driven decisions are becoming central to innovation and problem- solving, this book fits squarely into the urgent need for intelligent, adaptable, and scalable AI solutions. Our contributions align with global movements toward digital transformation, smart infrastructure, and personalized technologies that are reshaping how we understand and engage with complex systems. The relevance of neural networks is only expanding, and this volume provides a timely and accessible guide for understanding their applied power. The target audience for this volume includes AI practitioners, engineers, academic researchers, graduate students, data scientists, and industry professionals seeking to deepen their understanding of neural networks beyond textbook examples. The chapters are written to balance technical depth with real- world relevance, making them suitable for a diverse readership with interests in practical applications of AI.