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Focus on artificial neural networks [[electronic resource] /] / John A. Flores, editor
| Focus on artificial neural networks [[electronic resource] /] / John A. Flores, editor |
| Pubbl/distr/stampa | New York, : Nova Science Publishers, c2011 |
| Descrizione fisica | 1 online resource (426 p.) |
| Disciplina | 006.3/2 |
| Altri autori (Persone) | FloresJohn A |
| Collana | Mathematics research developments |
| Soggetto topico |
Neural networks (Computer science)
Artificial intelligence |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-61942-100-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""FOCUS ON ARTIFICIAL NEURAL NETWORKS ""; ""FOCUS ON ARTIFICIAL NEURAL NETWORKS ""; ""CONTENTS ""; ""PREFACE ""; ""APPLICATION OF ARTIFICIAL NEURAL NETWORKS (ANNS) IN DEVELOPMENT OF PHARMACEUTICAL MICROEMULSIONS ""; ""1. INTRODUCTION ""; ""2. ARTIFICIAL NEURAL NETWORKS (ANNS) ""; ""3. MICROEMULSIONS ""; ""4. APPLICATION OF ANNS IN THE DEVELOPMENT OF MICROEMULSION DRUG DELIVERY SYSTEMS ""; ""4.1. Prediction of Phase Behaviour ""; ""4.1.1. The influence of ANNs type/architecture ""; ""4.2. Screening of the Microemulsion Constituents ""
""4.3. Prediction of Structural Features of Microemulsions """"5. CONCLUSION ""; ""Symbols and Terminologies ""; ""REFERENCES ""; ""INVESTGATIONS OF APPLICATION OF ARTIFICIAL NEURAL NETWORK FOR FLOW SHOP SCHEDULING PROBLEMS ""; ""ABSTRACT ""; ""1.0 INTRODUCTION ""; ""1.1. Flow Shop Scheduling""; ""1.2. Methodologies used In Flow shop Scheduling ""; ""2.0. ANN APPROACH FOR SCHEDULING A BICRITERION FLOW SHOP ""; ""2.1. Problem Description ""; ""2.2. Architecture of the Proposed System ""; ""2.2.1. Initial learning stage""; ""2.2.2. Implementation stage "" ""2.3. Bidirectional Neural Network Structure """"2.4. An Illustration ""; ""2.5. Results and Discussions ""; ""3.0. ANN APPROACH FOR SCHEDULING A MULTI CRITERION FLOW SHOP""; ""3.1. Illustration ""; ""3.2. Results and Discussions ""; ""4.0. A HYBRID NEURAL NETWORK-META HEURISTIC APPROACH FOR PERMUTATION FLOW SHOP SCHEDULING ""; ""4.1. Introduction ""; ""4.2. Architecture of the ANN ""; ""4.3. Methodology ""; ""4.4. Results and Discussion ""; ""4.4.1. Suliman�s heuristic""; ""4.4.2. Genetic algorithm ""; ""Generation of initial population""; ""4.4.3. Simulated annealing "" ""4.5. Results and Discussions """"4.6. Inferences ""; ""5.0. CONCLUSIONS AND FUTURE DIRECTIONS ""; ""REFERENCES ""; ""ARTIFICIAL NEURAL NETWORKS IN ENVIRONMENTAL SCIENCES AND CHEMICAL ENGINEERING ""; ""ABSTRACT ""; ""INTRODUCTION ""; ""BRIEF DESCRIPTION OF ANN ""; ""LITERATURE REVIEW ""; ""ENVIRONMENTAL SCIENCES ""; ""CHEMICAL ENGINEERING ""; ""Modelling ""; ""Control""; ""Software Sensors ""; ""CONCLUSIONS ""; ""ACKNOWLEDGMENTS ""; ""REFERENCES ""; ""ESTABLISHING PRODUCTIVITY INDICES FOR WHEAT IN THE ARGENTINE PAMPAS BY AN ARTIFICIAL NEURAL NETWORK APPROACH""; ""ABSTRACT "" ""ENVIRONMENTAL FACTORS CONTROLLING WHEAT YIELD IN THE PAMPAS """"Attempts for Predicting Wheat Yield in the Pampas Using Regression Techniques ""; ""Use of Artificial Neural Networks to Predict Wheat Yield ""; ""Establishing Productivity Indices by an Artificial Neural Network Approach""; ""CONCLUDING REMARKS""; ""REFERENCES ""; ""DESIGN OF ARTIFICIAL NEURAL NETWORK PREDICTORS IN MECHANICAL SYSTEMS PROBLEMS ""; ""ABSTRACT ""; ""1. INTRODUCTION ""; ""2. ARTIFICIAL NEURAL NETWORKS (ANNS) ""; ""2.1. Feedforward Neural Networks ""; ""2.2. Recurrent Neural Networks "" ""2.1.1. Back Propagation neural network (BPNN) "" |
| Record Nr. | UNINA-9910457182403321 |
| New York, : Nova Science Publishers, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Focus on artificial neural networks [[electronic resource] /] / John A. Flores, editor
| Focus on artificial neural networks [[electronic resource] /] / John A. Flores, editor |
| Pubbl/distr/stampa | New York, : Nova Science Publishers, c2011 |
| Descrizione fisica | 1 online resource (426 p.) |
| Disciplina | 006.3/2 |
| Altri autori (Persone) | FloresJohn A |
| Collana | Mathematics research developments |
| Soggetto topico |
Neural networks (Computer science)
Artificial intelligence |
| ISBN | 1-61942-100-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""FOCUS ON ARTIFICIAL NEURAL NETWORKS ""; ""FOCUS ON ARTIFICIAL NEURAL NETWORKS ""; ""CONTENTS ""; ""PREFACE ""; ""APPLICATION OF ARTIFICIAL NEURAL NETWORKS (ANNS) IN DEVELOPMENT OF PHARMACEUTICAL MICROEMULSIONS ""; ""1. INTRODUCTION ""; ""2. ARTIFICIAL NEURAL NETWORKS (ANNS) ""; ""3. MICROEMULSIONS ""; ""4. APPLICATION OF ANNS IN THE DEVELOPMENT OF MICROEMULSION DRUG DELIVERY SYSTEMS ""; ""4.1. Prediction of Phase Behaviour ""; ""4.1.1. The influence of ANNs type/architecture ""; ""4.2. Screening of the Microemulsion Constituents ""
""4.3. Prediction of Structural Features of Microemulsions """"5. CONCLUSION ""; ""Symbols and Terminologies ""; ""REFERENCES ""; ""INVESTGATIONS OF APPLICATION OF ARTIFICIAL NEURAL NETWORK FOR FLOW SHOP SCHEDULING PROBLEMS ""; ""ABSTRACT ""; ""1.0 INTRODUCTION ""; ""1.1. Flow Shop Scheduling""; ""1.2. Methodologies used In Flow shop Scheduling ""; ""2.0. ANN APPROACH FOR SCHEDULING A BICRITERION FLOW SHOP ""; ""2.1. Problem Description ""; ""2.2. Architecture of the Proposed System ""; ""2.2.1. Initial learning stage""; ""2.2.2. Implementation stage "" ""2.3. Bidirectional Neural Network Structure """"2.4. An Illustration ""; ""2.5. Results and Discussions ""; ""3.0. ANN APPROACH FOR SCHEDULING A MULTI CRITERION FLOW SHOP""; ""3.1. Illustration ""; ""3.2. Results and Discussions ""; ""4.0. A HYBRID NEURAL NETWORK-META HEURISTIC APPROACH FOR PERMUTATION FLOW SHOP SCHEDULING ""; ""4.1. Introduction ""; ""4.2. Architecture of the ANN ""; ""4.3. Methodology ""; ""4.4. Results and Discussion ""; ""4.4.1. Suliman�s heuristic""; ""4.4.2. Genetic algorithm ""; ""Generation of initial population""; ""4.4.3. Simulated annealing "" ""4.5. Results and Discussions """"4.6. Inferences ""; ""5.0. CONCLUSIONS AND FUTURE DIRECTIONS ""; ""REFERENCES ""; ""ARTIFICIAL NEURAL NETWORKS IN ENVIRONMENTAL SCIENCES AND CHEMICAL ENGINEERING ""; ""ABSTRACT ""; ""INTRODUCTION ""; ""BRIEF DESCRIPTION OF ANN ""; ""LITERATURE REVIEW ""; ""ENVIRONMENTAL SCIENCES ""; ""CHEMICAL ENGINEERING ""; ""Modelling ""; ""Control""; ""Software Sensors ""; ""CONCLUSIONS ""; ""ACKNOWLEDGMENTS ""; ""REFERENCES ""; ""ESTABLISHING PRODUCTIVITY INDICES FOR WHEAT IN THE ARGENTINE PAMPAS BY AN ARTIFICIAL NEURAL NETWORK APPROACH""; ""ABSTRACT "" ""ENVIRONMENTAL FACTORS CONTROLLING WHEAT YIELD IN THE PAMPAS """"Attempts for Predicting Wheat Yield in the Pampas Using Regression Techniques ""; ""Use of Artificial Neural Networks to Predict Wheat Yield ""; ""Establishing Productivity Indices by an Artificial Neural Network Approach""; ""CONCLUDING REMARKS""; ""REFERENCES ""; ""DESIGN OF ARTIFICIAL NEURAL NETWORK PREDICTORS IN MECHANICAL SYSTEMS PROBLEMS ""; ""ABSTRACT ""; ""1. INTRODUCTION ""; ""2. ARTIFICIAL NEURAL NETWORKS (ANNS) ""; ""2.1. Feedforward Neural Networks ""; ""2.2. Recurrent Neural Networks "" ""2.1.1. Back Propagation neural network (BPNN) "" |
| Record Nr. | UNINA-9910778821903321 |
| New York, : Nova Science Publishers, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Focus on artificial neural networks [[electronic resource] /] / John A. Flores, editor
| Focus on artificial neural networks [[electronic resource] /] / John A. Flores, editor |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | New York, : Nova Science Publishers, c2011 |
| Descrizione fisica | 1 online resource (426 p.) |
| Disciplina | 006.3/2 |
| Altri autori (Persone) | FloresJohn A |
| Collana | Mathematics research developments |
| Soggetto topico |
Neural networks (Computer science)
Artificial intelligence |
| ISBN | 1-61942-100-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""FOCUS ON ARTIFICIAL NEURAL NETWORKS ""; ""FOCUS ON ARTIFICIAL NEURAL NETWORKS ""; ""CONTENTS ""; ""PREFACE ""; ""APPLICATION OF ARTIFICIAL NEURAL NETWORKS (ANNS) IN DEVELOPMENT OF PHARMACEUTICAL MICROEMULSIONS ""; ""1. INTRODUCTION ""; ""2. ARTIFICIAL NEURAL NETWORKS (ANNS) ""; ""3. MICROEMULSIONS ""; ""4. APPLICATION OF ANNS IN THE DEVELOPMENT OF MICROEMULSION DRUG DELIVERY SYSTEMS ""; ""4.1. Prediction of Phase Behaviour ""; ""4.1.1. The influence of ANNs type/architecture ""; ""4.2. Screening of the Microemulsion Constituents ""
""4.3. Prediction of Structural Features of Microemulsions """"5. CONCLUSION ""; ""Symbols and Terminologies ""; ""REFERENCES ""; ""INVESTGATIONS OF APPLICATION OF ARTIFICIAL NEURAL NETWORK FOR FLOW SHOP SCHEDULING PROBLEMS ""; ""ABSTRACT ""; ""1.0 INTRODUCTION ""; ""1.1. Flow Shop Scheduling""; ""1.2. Methodologies used In Flow shop Scheduling ""; ""2.0. ANN APPROACH FOR SCHEDULING A BICRITERION FLOW SHOP ""; ""2.1. Problem Description ""; ""2.2. Architecture of the Proposed System ""; ""2.2.1. Initial learning stage""; ""2.2.2. Implementation stage "" ""2.3. Bidirectional Neural Network Structure """"2.4. An Illustration ""; ""2.5. Results and Discussions ""; ""3.0. ANN APPROACH FOR SCHEDULING A MULTI CRITERION FLOW SHOP""; ""3.1. Illustration ""; ""3.2. Results and Discussions ""; ""4.0. A HYBRID NEURAL NETWORK-META HEURISTIC APPROACH FOR PERMUTATION FLOW SHOP SCHEDULING ""; ""4.1. Introduction ""; ""4.2. Architecture of the ANN ""; ""4.3. Methodology ""; ""4.4. Results and Discussion ""; ""4.4.1. Suliman�s heuristic""; ""4.4.2. Genetic algorithm ""; ""Generation of initial population""; ""4.4.3. Simulated annealing "" ""4.5. Results and Discussions """"4.6. Inferences ""; ""5.0. CONCLUSIONS AND FUTURE DIRECTIONS ""; ""REFERENCES ""; ""ARTIFICIAL NEURAL NETWORKS IN ENVIRONMENTAL SCIENCES AND CHEMICAL ENGINEERING ""; ""ABSTRACT ""; ""INTRODUCTION ""; ""BRIEF DESCRIPTION OF ANN ""; ""LITERATURE REVIEW ""; ""ENVIRONMENTAL SCIENCES ""; ""CHEMICAL ENGINEERING ""; ""Modelling ""; ""Control""; ""Software Sensors ""; ""CONCLUSIONS ""; ""ACKNOWLEDGMENTS ""; ""REFERENCES ""; ""ESTABLISHING PRODUCTIVITY INDICES FOR WHEAT IN THE ARGENTINE PAMPAS BY AN ARTIFICIAL NEURAL NETWORK APPROACH""; ""ABSTRACT "" ""ENVIRONMENTAL FACTORS CONTROLLING WHEAT YIELD IN THE PAMPAS """"Attempts for Predicting Wheat Yield in the Pampas Using Regression Techniques ""; ""Use of Artificial Neural Networks to Predict Wheat Yield ""; ""Establishing Productivity Indices by an Artificial Neural Network Approach""; ""CONCLUDING REMARKS""; ""REFERENCES ""; ""DESIGN OF ARTIFICIAL NEURAL NETWORK PREDICTORS IN MECHANICAL SYSTEMS PROBLEMS ""; ""ABSTRACT ""; ""1. INTRODUCTION ""; ""2. ARTIFICIAL NEURAL NETWORKS (ANNS) ""; ""2.1. Feedforward Neural Networks ""; ""2.2. Recurrent Neural Networks "" ""2.1.1. Back Propagation neural network (BPNN) "" |
| Record Nr. | UNINA-9910809188703321 |
| New York, : Nova Science Publishers, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||