Applications of Mathematics in Models, Artificial Neural Networks and Arts || Society from the Statistical Mechanics Perspective

Applications of Mathematics in Models, A

Applications of Mathematics in Models, Artificial Neural Networks and Arts || Figurative Arts and Mathematics: Pipes, Horses, Triangles and Meanings

✍ Capecchi, Vittorio; Buscema, Massimo; Contucci, Pierluigi; D'Amore, Bruno 📂 Article 📅 2010 🏛 Springer Netherlands ⚖ 641 KB

Applications of Mathematics in Models, A

Applications of Mathematics in Models, Artificial Neural Networks and Arts Volume 253 || The Idea of Space in Art, Technology, and Mathematics

✍ Capecchi, Vittorio; Buscema, Massimo; Contucci, Pierluigi; D'Amore, Bruno 📂 Article 📅 2010 🏛 Springer Netherlands 🌐 Dutch ⚖ 445 KB

The book shows a very original organization addressing in a non traditional way, but with a systematic approach, to who has an interest in using mathematics in the social sciences. The book is divided in four parts: (a) a historical part, written by Vittorio Capecchi which helps us understand the ch

Applications of Mathematics in Models, A

Applications of Mathematics in Models, Artificial Neural Networks and Arts Volume 71 || J-Net System: A New Paradigm for Artificial Neural Networks Applied to Diagnostic Imaging

✍ Capecchi, Vittorio; Buscema, Massimo; Contucci, Pierluigi; D'Amore, Bruno 📂 Article 📅 2010 🏛 Springer Netherlands 🌐 Dutch ⚖ 767 KB

The book shows a very original organization addressing in a non traditional way, but with a systematic approach, to who has an interest in using mathematics in the social sciences. The book is divided in four parts: (a) a historical part, written by Vittorio Capecchi which helps us understand the ch

On the statistical mechanics of probabil

On the statistical mechanics of probabilistic models of neural networks

✍ Minping Qian; Guanglu Gong; Songmao Xie 📂 Article 📅 1995 🏛 Institute of Applied Mathematics, Chinese Academy 🌐 English ⚖ 383 KB

Stabilizing and robustifying the learnin

Stabilizing and robustifying the learning mechanisms of artificial neural networks in control engineering applications

✍ M. Onder Efe; Okyay Kaynak 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 918 KB

This paper discusses the stabilizability of artificial neural networks trained by utilizing the gradient information. The method proposed constructs a dynamic model of the conventional update mechanism and derives the stabilizing values of the learning rate. The stability in this context corresponds

Application of visual, statistical and a

Application of visual, statistical and artificial neural network methods in the differentiation of water from the exploited aquifers in Kuwait

✍ Amitabha Mukhopadhyay 📂 Article 📅 2003 🏛 Springer 🌐 English ⚖ 601 KB