Robotics & Artificial Int…3 (Professional Edition)/Robotics & Artificial Intelligence Tools 2003 (Professional Edition).iso/neural network tool and application/nsinstall.exe/data1.cab/NeuralBuilder_Files/NeuralBuilder.cnt

Microsoft Windows Help File Content | 2002-03-08 | 3.6 KB | 89 lines

:Base NeuralBuilder.hlp
1 Introduction
2 What is the NeuralBuilder?=What_is_the_NeuralBuilder
2 Supported Models=Supported_Models
1 How to use the NeuralBuilder
2 Design Steps
3 Design Steps of the NeuralBuilder=Design_Steps_of_the_NeuralBuilder
3 Step 1: Input/Desired Data File Selection=Step_1_Input_Desired_Data_File_Selection
3 Step 2: Cross Validation and Testing Data=Step_2_Network_Analysis
3 Step 3: Neural Topology=Step_3_Neural_Topology
3 Step 4: Layer Configuration=Step_4_Layer_Configuration
3 Step 5: Simulation Control=Step_5_Simulation_Control
3 Step 6: Data Display=Step_6_Data_Display
3 Step 7: Simulation=Step_7_Simulation
2 Understanding the Simulations
3 Planes of a Network=Planes_of_a_Network
3 Access Points=Access_Points_Wizard
3 Inspector=Inspector_NeuralBuilder
3 Activation Plane=Activation_Plane
3 Saving the Weights=Saving_the_Weights
3 Backpropagation Plane=Backpropagation_Plane
3 Changing the Learning Rates=Changing_the_Learning_Rates
3 Control Menu & Toolbar Commands=HIDR_Control
3 Static Simulation Control=Static_Simulation_Control
3 Dynamic Simulation Control=Dynamic_Simulation_Control
3 Changing the Learning Rule=Changing_the_Learning_Rule
3 Testing the Network=Testing_The_Network
2 Probe Configuration
3 Creating New Probes=Creating_New_Probes
3 Selecting the Data to Probe=Selecting_the_Data_to_Probe
3 Static Probes=Static_Probes
3 Temporal Probes=Temporal_Probes
3 Saving Data to Files=Saving_Data_to_Files
1 Neural Models
2 Introduction=Neural_Models
2 A Prototype Problem=A_Prototype_Problem
2 Multilayer Perceptrons
3 Introduction=Multilayer_Perceptrons
3 Example=MLP_Example
3 Hints=MLP_Hints
3 Theoretical Summary=MLP_Theoretical_Summary
2 Generalized Feedforward Networks
3 Introduction=Generalized_Feedforward_Networks
3 Example=Generalized_Feedforward_Example
3 Hints=Generalized_Feedforward_Hints
3 Theoretical Summary=Generalized_Feedforward_Theoretical_Summary
2 Modular Feedforward Networks
3 Introduction=Modular_Feedforward_Networks
3 Hints=Modular_Feedforward_Hints
3 Theoretical Summary=Modular_Feedforward_Theoretical_Summary
2 Radial Basis Function Networks
3 Introduction=Radial_Basis_Function_Networks
3 Example=RBF_Example
3 Hints=RBF_Hints
3 Theoretical Summary=RBF_Theoretical_Summary
2 Jordan and Elman Networks
3 Introduction=Jordan_and_Elman_Networks
3 Example=Jordan_Elman_Example
3 Hints=Jordan_Elman_Hints
3 Theoretical Summary=Jordan_Elman_Theoretical_Summary
2 Principle Component Analysis Networks
3 Introduction=Principal_Component_Analysis_Networks
3 Example=PCA_Example
3 Hints=PCA_Hints
3 Theoretical Summary=PCA_Theoretical_Summary
2 Self-Organizing Feature Map Networks
3 Introduction=Self_Organizing_Feature_Map_Networks
3 Example=SOFM_Example
3 Hints=SOFM_Hints
3 Theoretical Summary=SOFM_Theoretical_Summary
2 Time Lagged Recurrent Networks
3 Introduction=Time_Lagged_Recurrent_Networks
3 Hints=TLRN_Hints
3 Theoretical Summary=TLRN_Theoretical_Summary
2 General Recurrent Networks
3 Introduction=General_Recurrent_Networks
3 Hints=General_Recurrent_Hints
3 Theoretical Summary=General_Recurrent_Theoretical_Summary
2 CANFIS Networks (Fuzzy Logic)
3 CANFIS Networks (Fuzzy Logic)=CANFIS_Networks
3 CANFIS Hints=CANFIS_Hints
3 CANFIS Theoretical Summary=CANFIS_Theoretical_Summary
2 Support Vector Machines (SVM)
3 Support Vector Machine (SVM)=Support_Vector_Machine
3 Support Vector Machine Hints=Support_Vector_Machine_Hints
3 Support Vector Machine Theoretical Summary=SVM_Theoretical_Summary
2 Summary of Neural Wizard Examples
3 Summary of NeuralBuilder Examples=Summary_of_NeuralBuilder_Examples