[HTML][HTML] Artificial neural networks for computer-based molecular design

G Schneider, P Wrede - Progress in biophysics and molecular biology, 1998‏ - Elsevier
The theory of artificial neural networks is briefly reviewed focusing on supervised and
unsupervised techniques which have great impact on current chemical applications. An …

[كتاب][B] Deep learning

Y Bengio, I Goodfellow, A Courville - 2017‏ - academia.edu
Inventors have long dreamed of creating machines that think. Ancient Greek myths tell of
intelligent objects, such as animated statues of human beings and tables that arrive full of …

A review of genetic algorithms applied to training radial basis function networks

C Harpham, CW Dawson, MR Brown - Neural Computing & Applications, 2004‏ - Springer
The problems associated with training feedforward artificial neural networks (ANNs) such as
the multilayer perceptron (MLP) network and radial basis function (RBF) network have been …

[كتاب][B] Introduction to the theory of neural computation

JA Hertz - 2018‏ - taylorfrancis.com
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 1 Page 2
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 3 Page 4 …

[كتاب][B] Computational intelligence: an introduction

AP Engelbrecht - 2007‏ - books.google.com
Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration
into the adaptive mechanisms that enable intelligent behaviour in complex and changing …

Pattern classification using neural networks

RP Lippmann - IEEE communications magazine, 1989‏ - ieeexplore.ieee.org
The author extends a previous review and focuses on feed-forward neural-net classifiers for
static patterns with continuous-valued inputs. He provides a taxonomy of neural-net …

[كتاب][B] Soft computing and its applications

RA ogly Aliev, RR Aliev - 2001‏ - books.google.com
The concept of soft computing is still in its initial stages of crystallization. Presently available
books on soft computing are merely collections of chapters or articles about different aspects …

[كتاب][B] Nonlinear identification and control: a neural network approach

GP Liu - 2012‏ - books.google.com
The series Advances in Industrial Control aims to report and encourage technology transfer
in control engineering. The rapid development of control technology has an impact on all …

Using expectation-maximization for reinforcement learning

P Dayan, GE Hinton - Neural Computation, 1997‏ - direct.mit.edu
Abstract We discuss Hinton's (1989) relative payoff procedure (RPP), a static reinforcement
learning algorithm whose foundation is not stochastic gradient ascent. We show …

Radial basis function neural networks: a topical state-of-the-art survey

CSK Dash, AK Behera, S Dehuri, SB Cho - Open Computer Science, 2016‏ - degruyter.com
Radial basis function networks (RBFNs) have gained widespread appeal amongst
researchers and have shown good performance in a variety of application domains. They …