شبکه عصبی - 2
Neural Networks For Data Mining - Springer
Neural networks have become standard and important tools for data mining. This chapter provides an overview of neural network models and their applications to data […] — ادامه متنDual Neural Network - Springer
One of state-of-the-art recurrent neural networks (RNNs) is dual neural network (DNN). It can solve QP in real time. The dual neural network is of simple piecewise […] — ادامه متنArtificial neural networks in renewable energy systems ...
Artificial neural networks are widely accepted as a technology offering an alternative way to tackle complex and ill-defined problems. They can learn from examp […] — ادامه متنArtificial Neural Networks in Decision Support Systems ...
This paper introduces the concepts of neural networks and presents an overview of the applications of neural networks in decision support systems (DSS). […] — ادامه متنسیستم خبره فازی عصبی برای تشخیص
- عنوان لاتین مقاله: A Hybrid Fuzzy-Neural Expert System For Diagnosis
- عنوان فارسی مقاله: یک سیستم خبره فازی عصبی برای تشخیص.
- دسته: فناوری اطلاعات و کامپیوتر
- فرمت فایل ترجمه شده: Word (قابل ویرایش)
- تعداد صفحات فایل ترجمه شده: 15
- جهت دانلود رایگان نسخه انگلیسی این مقاله اینجا کلیک نمایید
- ترجمه سلیس و روان مقاله آماده خرید است.
Neural Networks for Time-Series Forecasting - Springer
Neural networks has become an important method for time series forecasting. There is increasing interest in using neural networks to model and forecast time series. […] — ادامه متنArtificial neural networks in hardware: A survey of two ...
This article presents a comprehensive overview of the hardware realizations of artificial neural network (ANN) models, known as hardware neural networks (HNN), […] — ادامه متنSolving Nonlinear Differential Equations by a Neural ...
In this paper we demonstrate a neural network method to solve nonlinear differential equations and its boundary conditions. The idea of our method is to incorporate […] — ادامه متنZhang neural network solving for time-varying full-rank ...
Zhang neural networks (ZNN), a special kind of recurrent neural networks (RNN) with implicit dynamics, have recently been introduced to generalize to the solution of […] — ادامه متنNeural Networks For Data Mining - Springer
Neural networks have become standard and important tools for data mining. This chapter provides an overview of neural network models and their applications to data […] — ادامه متنArtificial neural networks for pattern recognition - …
This tutorial article deals with the basics of artificial neural networks (ANN) and their applications in pattern recognition. ANN can be viewed as computing models […] — ادامه متنBayesian Regularization of Neural Networks - Springer
Bayesian regularized artificial neural networks (BRANNs) are more robust than standard back-propagation nets and can reduce or eliminate the need for lengthy cross […] — ادامه متنIdentification of butterfly species with a single neural ...
A single neural network system based on the backpropagation algorithm was designed to address the issue of automatic multi-species classification for butterflies. […] — ادامه متنArtificial neural networks in hardware: A survey of two ...
This article presents a comprehensive overview of the hardware realizations of artificial neural network (ANN) models, known as hardware neural networks (HNN), […] — ادامه متنArtificial neural networks in hardware: A survey of two ...
This article presents a comprehensive overview of the hardware realizations of artificial neural network (ANN) models, known as hardware neural networks (HNN), […] — ادامه متنNeural networks for control systems—A survey ☆
This paper focuses on the promise of artificial neural networks in the realm of modelling, identification and control of nonlinear systems. The basic ideas and […] — ادامه متنپیشبینی قیمت کوتاه مدت مبتنی بر موجک ELM ترکیبی، برای بازار برق
چکیده | پیشبینی دقیق قدمت برق، چالشی بزرگ برای شرکت کنندگان و مدیران بازار می باشد، زیرا قیمت الکتریسیته دارای نوسانات بسیاری است. پیشبینی قیمت نیز، مهم ترین هدف مدیریتی برای مشارکت کنندگان در بازار است، چرا که مبانی بیشینه کردن سود را، تشکیل می دهد. این مطالعه، عملکرد یک تکنیک شبکه عصبی جدید را بنام ناشین یادگیری سریع (Elm)، در مساله پیشبینی قیمت، بررسی می کند. با در نظر داشتن خط مربوط به بازهای برق که دارای نوسانات بسیاری در قیمت هستند، تکیه به یک تکنیک، خیلی هم سودمند نمی باشد. بنابراین، Elm با تکنیک موجک همراه شده است و یک مدل پیوندی (مرکب) را به نام Welm (Elm مبتنی بر موجک) را تشکیل داده […] — ادامه متنNeural networks in business: techniques and …
This paper presents an overview of the different types of neural network models which are applicable when solving business problems. The history of neural netwo […] — ادامه متنNeural Networks for Time-Series Forecasting - Springer
Neural networks has become an important method for time series forecasting. There is increasing interest in using neural networks to model and forecast time series. […] — ادامه متنHybrid neural network models for bankruptcy …
The objective of this paper is to develop the hybrid neural network models for bankruptcy prediction. The proposed hybrid neural network models are (1) a MDA-as […] — ادامه متن
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