Shanghai Baotian Applies for Patent on Big Data Predictive Control to Optimize Water Slag Micro-Powder Grinding Process

Shanghai Baotian New Building Materials Co., Ltd. applied for a patent in May 2025 for a system named "Intelligent Optimization System for Water Slag Micro-Powder Grinding Machine Based on Big Data ...
Frontiers

Formal Verification of Neural Networks-Based Control Architecture for Safety-Critical Autonomous Systems

You will be redirected to our submission process. With increase in the applications ... operate become more and more complex, the traditional control design methods become impractical. Neural networks ...
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Deep Neural Network from Scratch in Python – Fully Connected Feedforward Tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
IEEE

A Parallel GRU-Transformer Neural Network Approach for Feedforward Compensation in Precision Motion Platform Control

Abstract: This paper proposes a feedforward compensation strategy based on Parallel GRU-Transformer neural network to address the issues of large tracking errors and insufficient stability of multi ...
IEEE

Adaptive Output Feedback Control Using Lyapunov-Based Deep Recurrent Neural Networks (Lb-DRNNs)

Abstract: Unlike traditional feedforward neural networks, recurrent neural networks (RNNs) possess a recurrent connection that allows them to retain past information. This internal memory enables RNNs ...
Frontiers

Deriving equivalent symbol-based decision models from feedforward neural networks

1 KNDS Deutschland GmbH & Co. KG, Munich, Germany 2 Institute for Software Technology, University of the Bundeswehr Munich, Neubiberg, Germany Artificial intelligence (AI) has emerged as a ...
Scientific Research Publishing

Hornik, K., Stinchcombe, M. and White, H. (1989) Multilayer Feedforward Networks Are Universal Approximators. Neural Networks, 2, 359-366.

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...