Hybrid Quantum-Classical Ridgelet Neural Networks for Portfolio Optimization
In this study, we introduce a quantum computing method that incorporates Ridglet transforms into quantum processing pipelines for financial time-series forecasting with Quantum Approximate Optimization Algorithm (QAOA)-based portfolio optimization.
Yadav, Bahadur, Mohanty, Sanjay Kumar
openaire +2 more sources
A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks
To investigate neural network parameters, it is easier to study the distribution of parameters than to study the parameters in each neuron. The ridgelet transform is a pseudo-inverse operator that maps a given function $f$ to the parameter distribution $γ$ so that a network $\mathtt{NN}[γ]$ reproduces $f$, i.e. $\mathtt{NN}[γ]=f$.
Sho Sonoda +2 more
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Blur Classification using Ridgelet Transform and Feed Forward Neural Network [PDF]
Shamik Tiwari +3 more
openaire +1 more source
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier. [PDF]
Ramasamy LK +3 more
europepmc +1 more source
GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation. [PDF]
Sebastian A +3 more
europepmc +1 more source
Deep Convolutional Neural Network with Symbiotic Organism Search-Based Human Activity Recognition for Cognitive Health Assessment. [PDF]
Alonazi M +5 more
europepmc +1 more source
A novel brain MRI classification framework integrating tuned single scale retinex and empirical wavelet entropy features. [PDF]
Kumar PR +9 more
europepmc +1 more source
Multimodal hybrid convolutional neural network based brain tumor grade classification. [PDF]
Rohini A +7 more
europepmc +1 more source
Explainable AI-driven diagnosis model for early glaucoma detection using grey-wolf optimized extreme learning machine approach. [PDF]
Muduli D +4 more
europepmc +1 more source
Rigdelet neural network and improved partial reinforcement effect optimizer for music genre classification from sound spectrum images. [PDF]
Wang F, Fu S, Abza F.
europepmc +1 more source

