On the acceleration of the backpropagation training method /

QR kȏd

On the acceleration of the backpropagation training method /

Spremljeno u:

Bibliografski detalji
Glavni autor:	Vrahatis, M. N.
Daljnji autori:	Androulakis, G. S., Magoulas, G. D.
Format:	Članak
Jezik:	English
Teme:	Error backpropagation Neural network Numerical optimization techniques Steepest descent
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

Similar Items

On the alleviation of the problem of local minima in back-propagation /
od: Magoulast, G. D.

Continuous steepest descent in higher order sobolev spaces /
od: Neuberger, J. W.

Geometry of learning : Visualizing the performance of neural network supervised training methods /
od: Androulakis, G. S.

Systolic array exploitation of a neural network inherent parallelism solving the nearest neighbor problem /
od: Bekakos, Michael P.

So sánh hiệu năng của thuật toán backpropagation và forward-forward trong bài toán nhận dạng ảnh
od: Trần, Thanh Hùng, i dr.
Izdano: (2026)

Neural networks for NP-complete problems /
od: Budinich, Marco.

Levenberg-Marquardt training algorithms for random neural networks /

Object oriented and genetically selected neural networks in a heterogeneous distributed environment /
od: Cresswell, I.

Native South American genetic structure and prehistory inferred from hierarchical modeling of mtDNA /
od: Lewis Jr, Cecil M.

Network Algorithms, Data Mining, and Applications
od: Bychkov, Ilya, i dr.
Izdano: (2020)

Optimal operation of complex water distribution systems using metamodels /
od: Broad, D. R.

ANN-GA-based model for multiple objective management of coastal aquifers /
od: Bhattacharjya, Rajib Kumar.

Gliding and the functional origins of flight : Biomechanical novelty or necessity ? /

Introduction to artificial neural systems /
od: Zurada, Jacek M.
Izdano: (1992)

Optimization : algorithms and applications
od: Arora, Rajesh Kumar
Izdano: (2015)

Principles of neurocomputing for science and engineering
od: Ham, Fredric M.
Izdano: (2001)

Principles of neurocomputing for science and engineering
od: Ham, Fredric M
Izdano: (2001)

Principles of neurocomputing for science and engineering /
od: Ham, Fredric M.
Izdano: (2001)

Fuzzy neural network modeling of reservoir operation /
od: Deka, Paresh Chandra.

A Study on Parallel Recommender System with Stream Data Using Stochastic Gradient Descent
od: Nguyen, Si Thin, i dr.
Izdano: (2024)

Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics
od: Koprinkova-Hristova, Petia, i dr.
Izdano: (2015)

Principles of neurocomputing for science and engineering /
od: Ham, Fredric M., Ph.D.
Izdano: (2001)

Neural networks : computers with intuition /
od: Brunak, Soren.
Izdano: (1990)

Neural networks : computers with intuition /
od: Brunak, Soren.
Izdano: (1990)

Neural networks : computers with intuition /
od: Brunak, Søren.
Izdano: (1990)

Foundations of neural networks
od: Khanna, Tarun
Izdano: (1990)

Fast distributed near-optimum assignment of assets to tasks /
od: Gelenbe, Erol.

Intelligent Computing in Optimal Design
od: Burczyński, Tadeusz, i dr.
Izdano: (2020)

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

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

Neural Nets WIRN11: Proceedings of the 21st Italian Workshop on Neural Nets
od: Apolloni, Bruno, i dr.
Izdano: (2013)

High dimensional numerical problems /
od: Novak, Erich.

Neural networks and deep learning : a textbook
od: Aggarwal, Charu C
Izdano: (2023)

Rule extraction from trained neural networks using genetic algorithms /
od: Arbatli, A. Duygu.

Applying dynamic surrogate models in noisy genetic algorithms to optimize groundwater remediation designs /
od: Yan, Shengquan, Ph.D.

Applying the Hybrid Model to Optimize the Construction Cost index
od: Le, Thi Thuy Linh
Izdano: (2021)

An analysis of errors made by grade 11 Vietnamese students in writing paragraphs
od: Nguyễn, ngọc An
Izdano: (2025)

Biology and computation : a physicist's choice /
Izdano: (1994)

Biology and computation : a physicist's choice /
Izdano: (1994)

An Introduction to Neural Network Methods for Differential Equations
od: Yadav, Neha, i dr.
Izdano: (2015)