Novel Architectures and Training Algorithms for Deep Neural Networks /

Viability of Physics-Aware Deep-Learning based Proxy Reservoir Simulator for use in Well Control Optimization /
by: Kompantsev, Georgy
Published: (2023)

Applying the idiomatic design pattern to convolutional neural networks /
Published: (2020)

Metaheuristic procedures for training neural networks /
Published: (2006)

Automated deep learning using neural network intelligence : develop and design PyTorch and TensorFlow models using Python /
by: Gridin, Ivan
Published: (2022)

Particle swarm optimization /
by: Clerc, Maurice
Published: (2006)

Particle swarm optimisation : classical and quantum perspectives /
by: Sun, Jun, 1971
Published: (2012)

Particle swarm optimization /
by: Clerc, Maurice
Published: (2006)

Particle swarm optimization and intelligence : advances and applications /
by: Parsopoulos, Konstantinos E., 1974-
Published: (2010)

Initialization and diversity in optimization algorithms /
by: Navarro Velázquez, Mario Alberto, et al.
Published: (2026)

Neural Search, from Prototype to Production with Jina Build Deep Learning-Powered Search Systems That You Can Deploy and Manage with Ease /
by: Wang, Bo (Artificial intelligence scientist), et al.
Published: (2022)

Particle swarm optimisation : classical and quantum perspectives /
by: Sun, Jun, 1971-
Published: (2012)

Seisei deep learning : e o egaki, monogari o tsukuri, gēmu o pureisuru /
by: Foster, David (Business consultant)
Published: (2020)

Recurrent neural networks for prediction : learning algorithms, architectures and stability /
by: Mandic, Danilo P.
Published: (2001)

Recurrent neural networks for prediction : learning algorithms, architectures, and stability /
by: Mandic, Danilo P.
Published: (2001)

Neural networks in optimization /
by: Zhang, Xiang-Sun, 1943-
Published: (2000)

Deep swarm and evolution for generative artificial intelligence /
by: Iba, Hitoshi
Published: (2025)

Introduction to deep learning and neural networks with Python /
by: Gad, Ahmed, et al.
Published: (2020)

Gradient expectations : structure, origins, and synthesis of predictive neural networks /
by: Downing, Keith L.
Published: (2023)

Artificial neural networks : learning algorithms, performance evaluation, and applications /
by: Karayiannis, N. B. (Nicolaos B.), 1960-
Published: (1993)

Convolutional neural networks for medical image processing applications /
Published: (2022)

Neural networks for optimization and signal processing /
by: Cichocki, Andrzej
Published: (1993)

Neural smithing : supervised learning in feedforward artificial neural networks /
by: Reed, Russell D.
Published: (1999)

Neural network training using genetic algorithms /
by: Rooij, A. J. F. van (Arno J. F.)
Published: (1996)

Neural networks and machine learning /
Published: (1998)

Neural computing architectures : the design of brain-like machines /
Published: (1989)

Fundamentals of neural networks.
Published: (2022)

Prediction of Stress Concentration Factor from In-Line Inspection Data Using Convolutional Neural Networks /
by: Valencia, Emmanuel
Published: (2023)

Deep Neural Network Design for Radar Applications /
Published: (2020)

Chokkan Deep learning : Python Keras de aidea o katachi ni suru reshipi /
by: Gulli, Antonio
Published: (2018)

Swarm intelligence and evolutionary computation : theory, advances and applications in machine learning and deep learning /
by: Kouziokas, Georgios N.
Published: (2022)

Deep Neural Network Design for Radar Applications /
Published: (2021)

Wideband dual-linear polarized microstrip patch antenna /
by: Smith, Christopher Brian
Published: (2010)

Binary neural networks : algorithms, architectures, and applications.
by: Zhang, Baochang
Published: (2024)

Neural networks : algorithms and applications /
by: Ananda Rao, M.
Published: (2003)

Novel Approaches in Classification Error Estimation, Predicting Generalization in Deep Learning, and Hybrid Compartmental Models /
by: Ghane, Parisa
Published: (2023)

Neural network fundamentals with graphs, algorithms, and applications /
by: Bose, N. K. (Nirmal K.), 1940-
Published: (1996)