EurekAlert!

Deep neural networks enable accurate pricing of American options under stochastic volatility

It shows the schematic of the physics-informed neural network algorithm for pricing European options under the Heston model. The market price of risk is taken to be λ=0. Automatic differentiation is ...
IEEE

Particle Swarm Optimization for Automated Design of Reversible Residual Neural Networks for Turntable Servo Systems

Abstract: The reversible residual neural network (RRNN) model is a bidirectional neural network model, which has recently gained attention in the design of various control methods in turntable servo ...
SDxCentral

Researchers crack quantum network vulnerability with new algorithm

A group of researchers have developed an algorithm designed to prevent threat actors from disrupting quantum communication channels across an entire network. Researchers from Italy's Politecnico di ...
GitHub

Scalable Neural Network-based Blackbox Optimization

This repository provides implementation for SNBO (Scalable Neural Network-based Blackbox Optimization) — a novel method for efficient blackbox optimization using neural networks. It also includes code ...
Scientific Research Publishing

Wang, H. and Yan, X. (2015) Optimizing the Echo State Network with a Binary Particle Swarm Optimization Algorithm. Knowledge-Based Systems, 86, 182-193.

ABSTRACT: This paper is devoted to studying the dynamic event-triggered consensus problem in distributed Echo State Networks (ESNs). The traditional ESN problem can be formulated as a set of ...