Aug 4, 2000 - accuracy, stability and runtime of neural networks. ... However pruning does not always improve generalization. The initial weights for input to ...
reasonably permits uniform symbols on some input space of form . , in the scope of ... Considerations for Supersymmetric Reinforcement Learning ....................... .... Learning, imparting that cutting edge Deep Learning work tends to consider.
neurons in a neural network in order to approximate a nonlinear function. .....
When using the Matlab routine newff to create a network, each layer's weights
and ...
ARTIFICIAL NEURAL NETWORK COMBINED WITH. IMPERIALIST COMPETITIVE ALGORITHM FOR. DETERMINATION OF RIVER SEDIMENTS. Mehdi Nikoo1 ...
Jan 4, 2013 - approach, the multilayer perception network has been employed ... cokriging (Chica-Olmo, 2007) which was used to estimate housing prices. .... rons are organised in layers which are either input data, hidden (not directly obser- ... Fin
Mar 19, 2009 ... Chemical Industry & Chemical Engineering Quarterly 15 (2) 103−117 (2009).
CI&CEQ. 103 ... The method incorporates a hybrid artificial neural network and
differential ...... matlab neural network toolbox and a differential evo-.
into the Abenaki and Sable sub-basins. Development of the. Scotian Basin commenced during the middle Early Jurassic, with extensive deposition during the ...
the crime patterns, to analyzing the modus operandi of serial criminals and to allocate useful resources (for tactical purpose) in the places where there are lots.
MANUFACTURED BY POWDER METALURGY METHOD. Mustafa Taskin, Halil Dikbas and Ugur Caligulu. Department of Metal, Faculty of Technical Education, ...
... Rohtak, Haryana, India. 3Department of Biotechnology, Punjabi University, Patiala, Punjab, India .... and this was in good accord with the predicted value.
Sistem Informasi Penyebaran Penyakit Demam Berdarah. Menggunakan Metode Jaringan ... âPengantar Jaringan Syaraf Tiruan.â Yogyakarta: Andi. Offset.
Artificial neural networks (ANNs) are a form of artificial intelligence which attempt to .... neural network was trained with field data of actual case records. ... compression of the pile and soil, the pile set and the driving energy delivered to th
The hardware functionality was verified using Xilinx. Chipscope Pro Analyzer 10.1 tool. Keywords: Artificial neural network, CSD multiplier, FPGA, Image ...
based computation of the neural function is proposed. k- winner-take-all and k-loser-take-all operations are performed in the time-domain, allowing for fast and ...
Artificial bee colony algorithm is a nature inspired meta-heuristic algorithm,
mimicking the foraging or food source searching behaviour of bees in a bee
colony ...
James C. Hayes, Pamela G. Doctor, Tom R. Heimbigner, Charles W. Hubbard, Lars J. Kangas, Paul E. Keller,. Justin I. McIntyre, Brian T. Schrom, and Reynold ...
Nippleâembolus. No or Not Applicable, Yes. NippleâPaget's disease. No or Not Applicable, Yes. Pectoral muscle invaded No or Not Applicable, Yes. Number ...
This paper describes a robust hybrid artificial neural network (ANN) methodo- logy which can offer a superior performance for the important process engine-.
common AI application fields. ... With the emergence of AI and utilization of ANN, with the ..... of network from the input files and creating the related nodes.
Rule refinement as described by Towell & Shavlik [1993] is a three step process involving (i) initialisation of a Knowledge. Based Artificial Neural Network, ...
percentile intervals for the prediction of a karstic aquifer's response. I.C. Trichakis & G.P. ... In this work the bootstrap percentile method is combined with an ANN model, already developed to predict a ..... levels in fractured media. Journal of
May 15, 2014 - This study attempts to hybrid the Firefly Algorithm (FA) with the ANN in order ... Keywords: Artifitail neural networks, firefly algorithm, time series ...
Nov 3, 2010 - use of an artificial neural network (ANN) as a filter, which is called ... We applied the trained LAP-MTANN to simulated polyps and rectal tubes. The results ..... ogous to the kernel of a convolution filter and the convolutional.
Apr 22, 2013 - studies (e.g. Mustafa et al. [10], Memarian and ...... 2, No. 1, 2007, pp. 49-61. [14] C. Sivapragasam, S.-Y. Liong and M. F. K. Pasha, âRain-.
We present a hybrid Radial Basis Function (RBF) - sigmoid neural network with a ... MLP networks with the local approximation capabilities of RBF networks. It is.