2,859
Views
13
CrossRef citations to date
0
Altmetric
Original Articles

Modeling Thermal Conductivity, Specific Heat, and Density of Milk: A Neural Network Approach

, , , , &
Pages 531-539 | Received 02 Mar 2003, Accepted 04 Sep 2003, Published online: 06 Feb 2007

Figures & data

Figure 1. Symbolic representation of a neuron consisting of a processing node and synaptic connections.

Figure 1. Symbolic representation of a neuron consisting of a processing node and synaptic connections.

Figure 2. Mean squared error of test data set for one hidden layer net, using the momentum learning method.

Figure 2. Mean squared error of test data set for one hidden layer net, using the momentum learning method.

Figure 3. Plot of observed vs. predicted values for k (W m−1 K−1). •: ANN; ˆ: polynomial.

Figure 3. Plot of observed vs. predicted values for k (W m−1 K−1). •: ANN; ˆ: polynomial.

Figure 4. Plot of observed vs. predicted values for CP (kJ kg−1 K−1). •: ANN; ˆ: polynomial.

Figure 4. Plot of observed vs. predicted values for CP (kJ kg−1 K−1). •: ANN; ˆ: polynomial.

Figure 5. Plot of observed vs. predicted values for ρ (kg m−3). •: ANN; ˆ: polynomial.

Figure 5. Plot of observed vs. predicted values for ρ (kg m−3). •: ANN; ˆ: polynomial.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.