Stochastic Search Algorithms for Identification, Optimization, and Training of Artificial Neural Networks

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Metaheuristic Optimization Algorithms for Training Artificial Neural Networks

Training neural networks is a complex task that is important for supervised learning. A few metaheuristic optimization techniques have been applied to increase the effectiveness of the training process. The Cuckoo Search (CS) algorithm is a recently developed meta-heuristic optimization algorithm which is suitable for solving optimization problems. In this paper, Cuckoo search is implemented in...

متن کامل

An Aproach of Design and Training of Artificial Neural Networks By Applying Stochastic Search Method

Although vast research works have been paid (throughout some 20 years back) regarding formal synthesis of an ANN it is somehow still open issue. This paper does not consider the mentioned formal synthesis aspects but intends to introduce an original engineering approach offering some advantages whenever training and designing of artificial neurel networks are under consideration. In that sense ...

متن کامل

Training Artificial Neural Networks with Genetic Algorithms for Stock Forecasting

Accurate prediction of future stock market prices is of great importance to traders. The process can be automated using artificial neural networks. However, the conventional backward propagation of errors algorithm commonly used for training the networks suffers from the local minima problem. This study investigates whether investing more computational resources into training an artificial neur...

متن کامل

Global optimization for artificial neural networks: A tabu search application

The ability of neural networks to closely approximate unknown functions to any degree of desired accuracy has generated considerable demand for Neural Network research in Business. The attractiveness of neural network research stems from researchers’ need to approximate models within the business environment without having a priori knowledge about the true underlying function. Gradient techniqu...

متن کامل

Training Wavelet Neural Networks Using Hybrid Particle Swarm Optimization and Gravitational Search Algorithm for System Identification

ystem identification is mainly the process of improving a mathematical modeling of a physical system using experimental data. In this paper, a new hybrid wavelet neural network is proposed for the system identification purposes. The Gravitational Search Algorithm (GSA) is a new evolutionary algorithm which recently introduced and has a good performance in different optimization problems. The GS...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Advances in Artificial Neural Systems

سال: 2015

ISSN: 1687-7594,1687-7608

DOI: 10.1155/2015/931379